Teaching Gene Technology in an Outreach Lab: Students’ Assigned Cognitive Load Clusters and the Clusters’ Relationships to Learner Characteristics, Laboratory Variables, and Cognitive Achievement

This study classified students into different cognitive load (CL) groups by means of cluster analysis based on their experienced CL in a gene technology outreach lab which has instructionally been designed with regard to CL theory. The relationships of the identified student CL clusters to learner characteristics, laboratory variables, and cognitive achievement were examined using a pre-post-follow-up design. Participants of our day-long module Genetic Fingerprinting were 409 twelfth-graders. During the module instructional phases (pre-lab, theoretical, experimental, and interpretation phases), we measured the students’ mental effort (ME) as an index of CL. By clustering the students’ module-phase-specific ME pattern, we found three student CL clusters which were independent of the module instructional phases, labeled as low-level, average-level, and high-level loaded clusters. Additionally, we found two student CL clusters that were each particular to a specific module phase. Their members reported especially high ME invested in one phase each: within the pre-lab phase and within the interpretation phase. Differentiating the clusters, we identified uncertainty tolerance, prior experience in experimentation, epistemic interest, and prior knowledge as relevant learner characteristics. We found relationships to cognitive achievement, but no relationships to the examined laboratory variables. Our results underscore the importance of pre-lab and interpretation phases in hands-on teaching in science education and the need for teachers to pay attention to these phases, both inside and outside of outreach laboratory learning settings.     

A two-level study of predictors of private tutoring attendance at the beginning of secondary schooling in Germany: The role of individual learning support in the classroom

More and more students attend private supplementary tutoring to improve their academic achievement. Private tutoring might be understood as a reaction to insufficient instructional quality in school, especially regarding individual support. However, it might also be possible that parents generally see insufficient grades as an indicator of lacking support and engage a tutor in hopes of improvement or to enhance a competitive edge for their children. So far, the relationship between tutoring attendance and perceived individual learning support during classroom lessons has not been tested. We used multilevel analyses based on N = 2,842 students in 102 Grade 5 classrooms at German academic track schools to test for a relationship between private tutoring in several subjects and students’ shared perception of the instructional quality in these subjects. On the individual level, we controlled for typical predictors of private tutoring such as academic achievement and family income, as well as for additional variables such as working behaviour and parental homework assistance. In classrooms with more individual support, students were less likely to start private tutoring in English. However, we did not find comparable relationships for tutoring in mathematics and German. Therefore, school principals and educational policy-makers should monitor the incidence of private tutoring and consider within-school structured tutoring programmes as an effective measure to improve academic achievement and to meet parents’ desire for individualised instruction.     

Concentrating on affective feedforward in online tutoring

With considerable input from the student voice, the paper centres on a detailed account of the experiences of Western academic, tutoring Eastern students online to develop their critical thinking skills. From their online experiences together as tutor and students, the writers present a considered case for the main emphasis in facilitative online tutoring to be on building, and then building upon, congruent relationships and constructive feedforward. Initially, the Western tutor had followed as best he could the norms of a Confucian Heritage Culture, concentrating reactively on instructional feedback. He then took the considered risk of reverting to proactivity, following the advice of Rogers and Vygotsky and according to an explicit rationale. The ensuing changes in students' online discussions and their learning experiences were marked and were objectively analysed. The tutor and two of his students suggest that the nature of congruent tutor/student relationships, irrespective of culture, is more significant in effectively promoting development than the cognitive content that might feature in feedback in such interactions. For it seems possible from the reported experiences that learning dependent on technological links may benefit from meaningful tutor/student relationships. A video abstract of this article can be viewed at http://www.youtube.com/watch?v=teslTzgVBsc&feature=youtu.be     

Teaching and Learning of Citizenship Education at the Junior Secondary Level in Botswana

This article explores some evidence about tutoring as an effective strategy to support young people’s learning. It is argued that the central goal of the tutor is to provide support for students’ learning. How the activities, relationships and skills of the tutor contribute to the achievement of this goal is then explored. The author emphasizes the tutor’s unique position in the school and how it can contribute to learning for students as individuals and in groups.     

Perceptions of tutoring roles and psychological distance among instructors,tutors and students at a Korean university

This study explores issues related to the tutor’s role when initiating tutoring as an institutional strategy at a conventional university. Based on a pilot tutoring program implemented in four college courses, we investigated the perceptions of instructors, tutors and students regarding the role of tutoring and whether it affected the psychological distance between the different types of participants. The results indicated that instructors’ perceptions of the tutor’s primary role and the psychological distance from the students and the tutors differed from the perceptions of the tutors and the students, perhaps because the instructors perceived tutors as a source of instructor support rather than student support. Implications and suggestions are discussed.     

The personal tutor–student relationship: student expectations and experiences of personal tutoring in higher education

The personal tutor plays a key role in the student experience at university, and personal tutoring embodies the student relationship with the university, suggesting that it has the potential to provide insights beyond that specific relationship to the institution and higher education context. A focus session with first year undergraduate students explored expectations and experiences of personal tutoring from the student perspective. Interpretative phenomenological analysis was used to explore students’ lived experiences, and identified superordinate themes of expectations, experiences and relationships, with cluster themes including independence and authenticity. Developing a positive and genuine relationship with the personal tutor was found to ‘buffer’ against some of the first year challenges and contribute towards a sense of belonging. Importantly, this study provides evidence that experiencing poor personal tutoring is worse than not having a personal tutor at all, as this can lead to students experiencing strong negative emotions and re-evaluating their decision to go to university. Implications of these findings in the current higher education context of fee-paying students and competing institutional demands are discussed.     

Modeling the student in intelligent tutoring sytems: The promise of a new psychometrics

This paper reviews a number of relatively new and promising psychometric approaches to the problem of modeling student achievement (the student model) within intelligent tutoring systems (ITS). A shared characteristic of most ITSs is their need to estimate a model of the student's understanding of the domain, and use this model to modify and adapt subsequent instructional content and sequence. Sound cognitive diagnosis and the need to advance ITS technology require the development of student models that are integrated with cognitive theory and instructional science. A number of cognitively oriented psychometric approaches — including latent-trait models, statistical pattern recognition methods, and causal probabilistic networks — are described and discussed within the current ITS framework. As measurement-based student models are refined, we anticipate their compatibility with future generations of intelligent tutoring systems.     

Exploring the Assistance Dilemma in Experiments with Cognitive Tutors

Intelligent tutoring systems are highly interactive learning environments that have been shown to improve upon typical classroom instruction. Cognitive Tutors are a type of intelligent tutor based on cognitive psychology theory of problem solving and learning. Cognitive Tutors provide a rich problem-solving environment with tutorial guidance in the form of step-by-step feedback, specific messages in response to common errors, and on-demand instructional hints. They also select problems based on individual student performance. The learning benefits of these forms of interactivity are supported, to varying extents, by a growing number of results from experimental studies. As Cognitive Tutors have matured and are being applied in new subject-matter areas, they have been used as a research platform and, particularly, to explore interactive methods to support metacognition. We review experiments with Cognitive Tutors that have compared different forms of interactivity and we reinterpret their results as partial answers to the general question: How should learning environments balance information or assistance giving and withholding to achieve optimal student learning? How best to achieve this balance remains a fundamental open problem in instructional science. We call this problem the “assistance dilemma” and emphasize the need for further science to yield specific conditions and parameters that indicate when and to what extent to use information giving versus information withholding forms of interaction.     

Revitalizing Algebra: the effect of the use of a cognitive tutor in a remedial course

This study investigated the effect of instruction with a cognitive tutoring software system in a remedial algebra course. The performance on algebra tasks of students who attended the experimental (cognitive tutor) and a control class was compared. The results indicated that the two groups of students were equally proficient with respect to algebraic manipulation skills. However, students who attended the experimental algebra section performed significantly better in problem solving than students in the control section. This finding suggested that the use of the cognitive tutor (a) improved students' problem‐solving abilities; (b) fostered student development of richer concepts of variable and function; and (c) improved students' procedural abilities in approaching and carrying through mathematical analyses of relatively complex situations.     

Peer versus staff tutoring in problem-based learning

Effects of student versus staff tutoring on student learning in a problem-based, health sciences curriculum were studied. Academic achievement of 334 tutorial groups guided by staff tutors was compared with achievement of 400 groups guided by student tutors. In addition, students rated their tutor's performance on four behaviors considered critical to facilitating student learning. Overall, students guided by a staff tutor achieved somewhat better. In terms of practical significance, the difference was, however, fairly small. Staff tutors were rated as more knowledgeable and their contributions as more relevant. In addition, they asked stimulating questions to a larger extent. However, an interaction effect was found between the ratings and the year of study: Peer tutors displayed the supportive behaviors more extensively in the first year, whereas staff tutors' ratings were higher as the curriculum advanced. These results were interpreted in terms of the cognitive congruence framework.Parts of this article have been presented to the Annual Meeting of the American Educational Research Association, Atlanta, GA, April, 1993.     

Achieving Optimal Best: Instructional Efficiency and the Use of Cognitive Load Theory in Mathematical Problem Solving

We recently developed the Framework of Achievement Bests to explain the importance of effective functioning, personal growth, and enrichment of well-being experiences. This framework postulates a concept known as optimal achievement best, which stipulates the idea that individuals may, in general, strive to achieve personal outcomes, reflecting their maximum capabilities. Realistic achievement best, in contrast, indicates personal functioning that may show moderate capability without any aspiration, motivation, and/or effort expenditure. Furthermore, our conceptualization indicates the process of optimization, which involves the optimization of achievement of optimal best from realistic best.In this article, we explore the Framework of Achievement Bests by situating it within the context of student motivation. In our discussion of this theoretical orientation, we explore in detail the impact of instructional designs for effective mathematics learning as an optimizer of optimal achievement best. Our focus of examination of instructional designs is based, to a large extent, on cognitive load paradigm, theorized by Sweller and his colleagues. We contend that, in this case, cognitive load imposition plays a central role in the structure of instructional designs for effective learning, which could in turn influence individuals’ achievements of optimal best. This article, conceptual in nature, explores varying efficiencies of different instructional approaches, taking into consideration the potency of cognitive load imposition. Focusing on mathematical problem solving, we discuss the potentials for instructional approaches to influence individuals’ striving of optimal best from realistic best.     

Peer tutoring instructional practice and kindergartners’ achievement and socioemotional development

ABSTRACT

This study examines how the use of peer tutoring instructional practices links to students’ outcomes during kindergarten. Examining this pedagogical strategy allows us to contribute to the literature in three ways. First, we can study one potential mechanism by which peers might influence the outcomes of other peers in the classroom. Second, in that peer tutoring that is used as an instructional practice, the study can inform the link between instructional factors and student outcomes. Finally, our agenda look at the effects of peer tutoring instructional practices on academic and socioemotional outcomes, thereby broadening the meaning of educational attainment. The study relies on the most current national dataset of kindergarten students (the Early Childhood Longitudinal Study, Kindergarten class of 2010–2011). The findings suggest that a higher frequency of peer tutoring utilisation during instruction predicts greater social skills. However, there is no predictive relationship with behaviour or achievement. Implications are discussed.     

Providing formative assessment to students solving multipath engineering problems with complex arrangements of interacting parts: an intelligent tutor approach

Problems faced by engineering students involve multiple pathways to solution. Students rarely receive effective formative feedback on handwritten homework. This paper examines the potential for computer-based formative assessment of student solutions to multipath engineering problems. In particular, an intelligent tutor approach is adopted and tested out on problems of truss analysis, studied in engineering statics. With a cognitive model for solving the class of problems, the tutor allows the student wide latitude in solution steps, while maintaining sufficient constraints for judging the solution and offering feedback. Proper selection of judging points prevents interference with productive student work, while avoiding accumulated errors. To monitor student learning, efforts to apply distinct skills were extracted on the fly from student work. Using statistical methods developed for intelligent tutoring systems, metrics of the effectiveness of the feedback and areas for further improvements were gleaned from error rates in successive opportunities to apply distinct skills.     

School tutoring and academic performance: A too close relationship?

In Spain, each student class is assigned a tutor teacher who is also responsible for individually following their tutoring students’ performance, guiding them in personal issues and regularly meeting their families. Although tutors may suppose an important support for students during their school life, their close personal relationship may also influence the teaching and learning process in additional ways. This research analyses whether the fact that the tutor teaches a particular subject makes any difference in students’ academic achievement in that subject and if this differential achievement is conditioned by tutor-student/family relationship or not (being a possible over/under-marking). With this objective we employ a rich administrative census database from the most populated region of Spain (Andalusia), using student fixed-effects within-students between-school subjects. Our main results show that tutors seem to be only slightly inclined to over-mark their tutoring students, being this small bias conditioned by their relationship with the student.     

Teacher Perceptions of Learning Motivation and Classroom Behavior: The Role of Student Characteristics

The present study investigates whether teacher perceptions of students’ cognitive skills, their learning motivation, and their classroom behavior differ according to students’ socioeconomic status, immigrant background, and gender. Data from N = 4746 German fourth graders and data from their parents and teachers were analyzed using structural equation modeling. Controlling for student achievement as measured in a standardized achievement test and student motivation as measured by student and parent reports, we found that teachers overestimated the cognitive skills of high-SES students and girls in comparison to those of low-SES students and boys. Similarly, teachers perceived high-SES students, students who are not from an immigrant background, and girls as having a higher learning motivation and as having more cognitive skills. Finally, we found that teachers’ perceptions of students’ learning motivation and classroom behavior mediated the relationship between student characteristics and cognitive skills as perceived by the teacher.     

The Tutor’s Approach in Base Groups (PBL)

In this article, the concept of approach related to tutor functioning in problem-based learning (PBL) is explored and the significance of a phenomenological perspective of the body in relation to learning and tutoring is investigated. The aim has been to understand the concept of approach in a context where the individual, thoughts, emotions and body are regarded as a whole in a learning process – a non-dualistic entity. The analysis is primarily based on Merleau-Ponty (Phenomenologie de la Perception. Editions Gallimard, Kroppens fenomenologi. Oslo: Pax) and Leder (1990). The outcome of the analysis is related to the pedagogical view that characterises PBL and tutoring in base groups. An earlier study (Silén Licentiate thesis n 3/1996. Linköping University) about tutor functioning in PBL was the starting-point for the exploration. On the basis of the phenomenological analysis, I assign approach the following meaning: - the total message expressed by ‘the lived body’ in interaction with its life world. The analysis indicates that the tutor’s approach influences group work in different ways. One of phenomenology’s most important messages implies that the tutor’s approach should be characterised by ‘presence’, attention on the students and what is happening in the group, and not on the tutor’s own actions and thoughts. The ability to be ‘present’ is possible when the knowing is rooted in the lived body. This conclusion brings to the fore the necessity of the tutor’s own understanding of the ideas of PBL and the underlying theories, and also highlights the importance of regarding tutor training as an ongoing learning process. The focus of the exploration has been on the tutor in PBL. In principle, I would argue that a corresponding line of reasoning is applicable to tutoring and learning in general.     

Assessment criteria for competency-based education: a study in nursing education

This study examined the effects of type of assessment criteria (performance-based vs. competency-based), the relevance of assessment criteria (relevant criteria vs. all criteria), and their interaction on secondary vocational education students’ performance and assessment skills. Students on three programmes in the domain of nursing and care (N = 93) participated in the study. Results show that students who were given the relevant criteria made more accurate assessments of an expert model, performed better on a test and achieved higher instructional efficiency (defined as the relationship between performance and mental effort) compared to students who were given all criteria. Students who were given performance-based assessment criteria made more accurate assessments of an expert model and scored higher on task performance during practice compared to students who were given competency-based assessment criteria. They invested less mental effort in the assessments, resulting in higher instructional efficiency. An interaction effect for the concreteness of answers shows that the combination of performance-based and relevant criteria leads to superior analysis of worked examples compared to the other combinations of criteria.     

Antagonism Between Achievement and Enjoyment in ATI Studies

There is evidence that negative correlations between student achievement and their enjoyment of instructional methods exist under certain circumstances. In aptitude‐treatment interaction (ATI) studies where two or more methods are allowed to interact with student aptitudes to predict enjoyment and achievement, it appears that students often report enjoying the method from which they learn the least. Selected ATI studies are reviewed, and an explanation is suggested which may account for the negative correlations between achievement and enjoyment in instructional settings. It appears that students make inaccurate judgments about the amount of effort they will have to expend to achieve maximum learning outcomes. Low ability students typically report liking more permissive instructional methods, apparently because they allow them to maintain a “low profile” so that their failures are not as visible. However, in order to experience maximum achievement low ability students require less permissive methods which lower the information processing load on them. High ability students like more structured methods which they believe will make their efforts more efficient when these lower load methods seem often to interfere with their learning. High ability students seem to learn more from more permissive approaches which allow them to bring their own considerable skills to bear on learning tasks.     

Tutoring in (online) higher education: Experimental evidence

Demand for personalized online tutoring in higher education is growing but there is little research on its effectiveness. We conducted an RCT offering remote peer tutoring in micro- and macroeconomics at a German university teaching online due to the Covid-pandemic. Treated students met in small groups, in alternating weeks with and without a more senior student tutor. The treatment improved study behavior and increased contact to other students. Tutored students achieved around 30% more credits and a one grade level better GPA across treated subjects. Our findings suggest that the program reduced outcome inequality. We find no impacts on mental health.