The relation between self-regulation and the embedding of support in learning environments

The current study investigates whether embedding support may provide a solution to sub optimal use of support and whether this is related to learners’ self-regulation skills and goal orientation. Sixty students were divided in a condition where support was embedded and a condition where support was non-embedded. Results reveal that the embedded group used more and spent more time on the use of support. Quality of use differed for one support device only, with quality being higher in the non-embedded group. An interaction with self-regulation was found. High self-regulators use the support devices less optimal when support is embedded. No conclusions could be drawn with respect to goal orientation. Quality of usage and proportional time spent on support influenced learning outcomes.     

In search of attributes that support self-regulation in blended learning environments

Blended forms of learning have become increasingly popular. Learning activities within these environments are supported by a large variety of online and face-to-face interventions. However, it remains unclear whether these blended environments are successful, and if they are, what makes them successful. Studies suggest that blended learning challenges the self-regulatory abilities of learners, though the literature does little to explain these findings; nor does it provide solutions. In particular, little is known about the attributes that are essential to support learners and how they should guide course design. To identify such attributes and enable a more thoughtful redesign of blended learning environments, this systematic literature review (n?=?95) examines evidence published between 1985 and 2015 on attributes of blended learning environments that support self-regulation. The purpose of this review is therefore to identify and define the attributes of blended learning environments that support learners’ self-regulatory abilities. Seven key attributes were found (authenticity, personalization, learner-control, scaffolding, interaction, cues for reflection and cues for calibration). This review is the first to identify and define the attributes that support self-regulation in blended learning environments and thus to support the design of blended learning environments. This study may serve to facilitate the design of blended learning environments that meet learners’ self-regulatory needs. It also raises crucial questions about how blended learning relates to well-established learning theories and provides a basis for future research on self-regulation in blended learning environments.     

The effectiveness of self-regulated learning scaffolds on academic performance in computer-based learning environments: a meta-analysis

This meta-analysis examined research on the effects of self-regulated learning scaffolds on academic performance in computer-based learning environments from 2004 to 2015. A total of 29 articles met inclusion criteria and were included in the final analysis with a total sample size of 2648 students. Moderator analyses were performed using a random effects model that focused on the three main areas of scaffold characteristics (including the mechanism, functions, delivery forms, mode, and number of scaffolds; how to promote self-regulated learning by scaffolds); demographics of the selected studies (including sample groups, sample size, learning domain, research settings, and types of computer-based learning environments); and research methodological features (including research methods, types of research design, types of organization for treatment, and duration of treatment). Findings revealed that self-regulated learning scaffolds in computer-based learning environments generally produced a significantly positive effect on academic performance (ES = 0.438). It is also suggested that both domain-general and domain-specific scaffolds can support the entire process of self-regulated learning since they demonstrated substantial effects on academic performance. Different impacts of various studies and their methodological features are presented and discussed.     

The use of language in understanding subject matter

Empirical results show that frequently the meaning of expressions used by students in expressing their understanding of subject matter does not correspond to the meaning of those expressions in the subject matter theory that the students are expected to learn. There is also often a lack of identity of meaning between the same students’ use of the same expression from one use of the expression to another, in very similar contexts. The context gives a specific meaning to any expression. This variation in context and meaning is very central to the phenomena of teaching and learning. In educational research there is a need to differentiate between specific meanings expressed in conceptualizing subject matter, on the one hand, and concepts and meanings seen as parts of cognitive systems and social languages, on the other. The contextual character of the use of language is crucial to the understanding of teaching and learning and needs to be more carefully considered. The article is a discussion of the problem of varying meanings of language expressions in relation to major traditions of research, focusing on meanings and concepts within the field of learning and teaching.     

The effects of mandatory and optional use on students' ratings of a computer-based learning package

Continuing developments in educational technology and increasing undergraduate numbers in the UK have facilitated the use of computer‐based learning packages. One of the effects of the increasing use of these packages is the shift in teaching of material from being primarily lecturer‐led to student‐driven. This has a number of implications concerning using the package, since it is quite likely that students will be working in isolation, and the use of the package may be mandatory or optional. In this study we report on the usefulness ratings of a software package for undergraduate use within the context of whether or not students choose to use it. Level 1 students and lecturers in Economics were surveyed at three UK universities. Findings indicate that students whose use was mandatory rated the learning package as more useful than those whose use was optional. Reasons for non‐use centred on lack of instruction and on student apathy. These results have important implications for the use of computer‐based learning packages and for understanding user attitudes.     

Uses of video in understanding and improving mathematical thinking and teaching

This article characterizes my use of video as a tool for research, design and development. I argue that videos, while a potentially overwhelming source of data, provide the kind of large bandwidth that enables one to capture phenomena that one might otherwise miss; and that although the act of taping is in itself an act of selection, there is typically enough shown in a video that it rewards multiple watching and supports the kinds of arguments over data that are essential for theory testing and replication. In pragmatic terms, video presents phenomena in ways that have an immediacy that is tremendously valuable. I discuss ways in which videos help students and teachers focus on phenomena that might otherwise be very hard to grapple with. This article begins with a brief review of my uses of video, almost 40 years ago, for research and development in problem solving. It then moves to the discussion of very fine-grained research on learning and decision making. The bulk of the article is devoted to a discussion of the teaching for robust understanding (TRU) framework, which was derived in large measure from the extensive review of classroom videotapes, and which serves as the basis for an extensive program of pre-service and in-service professional development. The professional development relies heavily on the use of videos to convey the key ideas in TRU, and to help teachers plan and review instruction.     

一个重要的不等式的证法

概率论是数学的一个重要分支,不等式的证法是多种多样的。文章借助概率空间中对应的形式来证明数学中一类常用的不等式,用以显示概率论思想在解决某些数学问题时所具有的独特功能,同时也揭示概率论与其他数学分支之间的关系。     

The use of laboratory systems in improving university teaching

The problem of improving university teaching is reviewed and is seen as part of the process of re-education and change analysed by Lewin (1948) and others. A teaching laboratory is proposed including provision for feedback mechanism, self-confrontation processes, simulation and micro-teaching. Case studies of the use of micro-teaching and video recording are reported.     

Towards understanding international graduate student isolation in traditional and online environments

A mixed-methodology approach was employed to gain a better understanding of international graduate students’ perceptions of academic and social isolation, both in traditional and online environments, to see if these differ, and to explore suggestions for improving their sense of engagement within their learning communities. A survey was completed by 54 respondents and ten individuals participated in focus group sessions or individual interviews. The results show that international students, both in traditional and online programs, experience/perceive high levels of isolation, academically and socially. However, online international students may feel even more isolated than their traditional counterparts. The independent variables gender, type of degree, and family presence appear to also have some influence on some of the respondents’ answers. Participants suggested several types of potential interventions they would find useful.     

议析化学学科理解与提升教学能力

阐述了化学学科理解的含义,教师增进化学学科理解的基础、关键以及归宿。设计了以素养导向的化学学科理解的圈层结构模型;通过氧化还原反应概念、反应速率及其影响因素和阿司匹林的制备合成三个教学案例,分别介绍了教师可以从强化化学知识的本源理解、提升学科素养以及践行学科育人三个方面提升教学能力。     

Improving self-regulation, learning strategy use, and achievement with metacognitive feedback

Comprehension of science topics occurs when learners meaningfully generate relationships and conceptions about what they read. In this generation process, learners’ cognitive and metacognitive regulation is one of the most critical factors influencing learning. However, learners are not always successful in regulating their own learning, especially in computer-based learning environments (CBLEs) where they are alone. Based on this rationale, the present study was designed to examine the effects of two scaffolding strategies—generative learning strategy prompts and metacognitive feedback—on learners’ comprehension and self-regulation while learning the human heart system in a CBLE. Participants were 223 undergraduate student volunteers. Structural Equation Modeling (SEM) was employed to conceptualize and empirically test a model that explains mediating processes among variables. Results revealed that the combination of generative learning strategy prompts with metacognitive feedback improved learners’ recall and comprehension by enhancing learners’ self-regulation and better use of highlighting and summarizing as generative learning strategies.     

Scaffolding cognitive and metacognitive processes in low verbal ability learners: Use of diagrams in computer-based training environments

This study investigated how instructionalstrategies can support learners' knowledgeacquisition and metacomprehension of complexsystems in a computer-based trainingenvironment, and how individual characteristicsinteract with these manipulations. Incorporating diagrams into the trainingfacilitated performance on measures ofintegrative knowledge (i.e., the integrationand application of task-relevant knowledge),but had no significant effect on measures ofdeclarative knowledge (i.e., mastery of basicfactual knowledge). Diagrams additionallyfacilitated the development of accurate mentalmodels (as measured via a card sorting task)and significantly improved the instructionalefficiency of the training (i.e., higher levelof performance was achieved with less mentaleffort). Finally, diagrams effectivelyscaffolded participants' metacognition,improving their metacomprehension accuracy(i.e., their ability to accurately monitortheir comprehension). These beneficial effectsof diagrams on learners' cognitive andmetacognitive processes were found to bestrongest for participants with low verbalability. Results are discussed in terms ofimplications for the design of adaptivelearning systems.     

Teachers' understanding and the use of the learning cycle

This study examined the relationships that exist between high school science teachers' understanding of the Piagetian developmental model of intelligence, its inherent teaching procedure—the learning cycle—and classroom teaching practices. The teachers observed in this study had expressed dissatisfaction with the teaching methods they used, and, subsequently, attended a National Science Foundation sponsored in-service program designed to examine laboratory-centered science curricula and the educational and scientific theories upon which the curricula were based. The teachers who exhibited a sound understanding of the Piagetian model of intelligence and the learning cycle were more likely to effectively implement learning cycle curricula. They were able to successfully integrate their students' laboratory experiences with class discussions to construct science concepts. The teachers who exhibited misunderstandings of the Piagetian developmental model of intelligence and the learning cycle also engaged their students in laboratory activities, but these activities were weakly related to learning cycles. For example, the data gathered by their students were typically not used in class discussions to construct science concepts. Therefore, these teachers apparently did not discern the necessity of using the data and experiences from laboratory activities as the impetus for science concept attainment. Additional results comparing degrees of understanding, teaching behaviors and questioning strategies are discussed.