How does STEM context-based learning work: what we know and what we still do not know

ABSTRACT

Context-based learning (CBL) has influenced teaching and learning science in many countries over the past decades. Twelve years ago, a special issue on CBL was published in this Journal, focusing on CBL curriculum development. Seven papers in this current special issue on CBL now address the question of how a context influences the learning process. The papers focus on the stimulation of learning STEM subjects within contexts, how the learning process occurs and is enhanced, and the application of contexts in different settings. The approaches, results, and implications of the papers are located in a larger view that considers the question of what must be the case if a student not only engages in the tasks of learning but also succeeds at them. Concerning willingness and effort by learners, the papers draw conclusions about which STEM-related interests of students endure and are ephemeral across a decade, design criteria for maximising students’ situational interest, and students’ engagement with content and context simultaneously. Focusing on the opportunity to teach and learn, the papers reveal how a professional development approach functions to support STEM teachers to develop CBL materials, and how specific scaffolding acts in teaching bring students to more complex reasoning. Regarding good teaching, insights are offered on how metacognitive prompts improve teaching. Centring on the social surround that supports teaching and learning, a comparison of two contexts for teaching the same content reveals which aspects of the contexts move student learning forward. From this mapping, paths toward future research are projected.     

Personalized learning in iSTART: Past modifications and future design

Abstract

Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have improved the system. It also provides results of a recent implementation of an adaptive logic that increases or decreases text difficulty based on students’ performance rather than presenting texts randomly. High school students who received adaptive text selection showed increased sense of learning. Adaptive text selection also resulted in greater pre-training to post-training comprehension test gains, especially for less-skilled readers. The findings demonstrate that system-driven, just-in-time support consistent with the goals of personalized learning benefit the efficacy of computer-based learning environments.     

Teachers and science curriculum materials: where we are and where we need to go

Curriculum materials serve as a key conceptual tool for science teachers, and better understanding how science teachers use these tools could help to improve both curriculum design and theory related to teacher learning and decision-making. The authors review the literature on teachers and science curriculum materials. The review is organised around three main questions: What do teachers do when using science curriculum materials?, What happens when teachers use science curriculum materials? and Why do teachers make the decisions they do? For each question, the authors first summarise the findings of two key reviews from the mathematics education literature, then situate the findings from science education in juxtaposition with those findings. The review uncovers that relatively little is understood about the mechanism underlying how teachers interact with curriculum materials. To try to address this gap, complementing and extending the field’s existing understandings of the teacher–curriculum relationship, the authors make four propositions, grounded in the literature on self-regulation. The propositions reflect a mechanism for teacher curricular decision-making. The self-regulation perspective also helps to develop more targeted support for science teachers aimed at the uptake, adaptation and enactment of curriculum materials in ways that are intended, and that teachers themselves experience as an improvement in their teaching. The authors conclude with a call for research that further explores the ways in which individual science teachers’ decision-making is situated within the wider sociocultural context.     

大学英语个性化教学刍议

目前大学英语的个性化教学还处于探索阶段,但个性化教学作为一种先进的教育理念和科学的教育方式已表现出它不凡的魅力和诱人的前景,不庸置疑,它将是我国大学英语教学的必然选择。本文阐述了个性化教学的内涵和大学英语有效实施的理念与途径。     

Mentoring beginning teachers: What we know and what we don't

This article reports the findings of a review of the international research literature on mentoring beginning teachers. Research identifies a range of potential benefits and costs associated with mentoring, and suggests that the key to maximising the former and minimising the latter lies in the realization of a number of conditions for successful mentoring, such as the effective selection and preparation of mentors. We also highlight a number of limitations in the current evidence base on beginner teacher mentoring. Some implications, for the practice of teacher educators, for policy-makers and for future research, are considered.     

Implications of social network sites for teaching and learning. Where we are and where we want to go

This conceptual paper deals with some of the implications that the use of social network sites, though not originally developed and conceived for learning purposes, have for schools and academic activities when they are used as tools able to modify and innovate teaching/learning practices and academic culture. Beside the differences that characterize the two contexts, the attention that social network tools are progressively gaining in schools and higher education practices and pedagogies requires adjustments in learning and teaching that should be constantly considered by educators and policy makers. These environments are also presenting new and crucial opportunities for teacher training and teachers’ professional development. The purpose of the study is to reflect on some significant challenges and opportunities offered by social network sites, and how to exploit the latter, in relation to a number of themes. These themes have been identified as those that deserve better comprehension and further research investigation: communication between students and teachers and appropriate professional behaviours; pedagogical and technological challenges related to incorporating social networking practices into teaching and academic practices; how social networking can be exploited for teachers’ professional training and development. The study also provides some implications for policy and practice.     

Self-regulated learning: where we are today

Self-regulated learning has emerged as an important new construct in education. Our understanding of self-regulated learning has been informed by three schools of thought: (1) research on learning styles, (2) research on metacognition and regulation styles, and (3) theories of the self, including goal-directed behavior. Based on these schools of thought, a three-layer model is presented. The innermost layer pertains to regulation of the processing modes. The middle layer represents regulation of the learning process. The outermost layer concerns regulation of the self. Educators and researchers would benefit from an integration of these three frames of reference into a comprehensive model of self-regulated learning.     

Informing classroom practice: What we know about several task characteristics and their effects on learning

In this article, I discuss three task characteristics in terms of their possible implications for classroom learning—drawing heavily upon my own research. Of the three, only the spacing effect appears to have clear implications for improving classroom practice. By contrast, the other two—meaning-enhancing additions to what is to be learned and successive presentations of meaningfully related learning material—do not as yet have clear classroom implications.     

Educational Approaches in Autism: What we know about what we do

There has been little attempt to relate well‐known educational approaches in autism to increased psychological understanding about the condition. This paper addresses that gap. Four discrete educational approaches to autism (Higashi, Lovaas, Option, TEACCH), and two ‘eclectic’ approaches (SPELL, one LEA specific), are explored within the context of four psychological interpretations of autism. Our purpose is to better understand how the different educational approaches in autism align with, or diverge from, the core purposes of teachers, namely to develop independence and critical thought to the optimum level possible for individual pupils, irrespective of their underlying condition.     

Effects of ICT: Do we know what we should know?

Many decades after the introduction of ICT into classrooms there are still unanswered questions about the impact of technology in the long and short term on students’ learning, and how it has affected simple and complex learning tasks. These are important for (a) forming government policies; (b) directing teacher education programmes: (c) advancing national curricula; (d); designing or reforming classroom implementation and (e) analysing costs and benefits. While a plethora of studies has been conducted on the effects of ICT in education, major policy and methodological problems have precluded an unambiguous answer to such questions as:—“Does the way in which ICT is implemented have a major/minor impact on students’ knowledge and understanding?” and “Does the impact affect the surface or deep structure of students’ thinking and acting?” To date we have had no large-scale longitudinal studies of ICT’s impact in education such as we have in the form of studies of earlier major curriculum development projects. Nor have we had many comprehensive studies of the complex interactions between various types of ICT implementation and the effects of other factors such as school-based interventions, socio-economic status and school expenditures which have been shown to have a greater impact on education compared with other previous innovations in education. Furthermore we do not know if previous research studies have used research methods that matched learning objectives to instruments/procedures. Many previous studies are vague as to the actual measures used but we can infer that standardized tests were a frequent measure. In other instances, ad hoc analyses, with criteria that may have varied from analyst to analyst and were not “blind” analyses were certainly used to measure “success.” All of these limitations and uncertainties and many more point to the need for a thorough, rigorous, and multifaceted approach to analysing the impact of ICT on students’ learning. This paper draws on previous research evidence to identify relevant research strategies to address the gaps in our knowledge about ICT and students’ learning explained above.     

What we know now: education,neuroscience and transdisciplinary autism research

Background: Knowledge about the brain has been growing rapidly since the 1990s as a result of developments in neuroscientific research linked to improvements in functional neuroimaging and other brain imaging technologies. As the brain is the ‘principal organ involved in learning’ (1), it would seem reasonable to assume that education should be one of the chief beneficiaries of this research, leading to advances in our understanding of how people learn, the development of new curricula and innovative teaching and learning approaches. However, the linkage between neuroscience and education has, historically, always been weak, and, we suggest, continues to be so, notwithstanding important research initiatives since the year 2000.

Purpose: The purpose of this paper is to critically explore current theoretical understanding of joint neuroscientific and educational research, herein referred to as ‘neuroeducational’ research. There is a particular focus on a critique of the transdisciplinary model as applied in a study of imitation in learners with autism.

Main argument and sources of evidence: The review of the literature in the first half of the paper identifies the key barriers to neuroeducational research, including neuromyths, lack of shared understanding, the problem of the translation of neuroscientific findings to schools and clashing research assumptions, methodologies and traditions. However, a model of transdisciplinarity is presented as a possible way forward. This model is tested in the second half of the paper against the experiences of the authors in conducting transdisciplinary research in autism and imitation in the secondary classroom. Here, we develop the concepts of ‘transfer affordances’, ‘transfer challenges’ and ‘transfer opportunities’ to structure our analysis of the various dimensions of the transdisciplinary research process. These new concepts are defined, and their relevance and utility explained.

Conclusions: The main conclusion of the paper is that the transdisciplinary research process within neuroeducation is complex, far from fully understood and requires further mapping. It is proposed that the concepts of ‘transfer affordances’, ‘transfer challenges’ and ‘transfer opportunities’ are useful theoretical ideas in pursuit of this aim.     

Does media affect learning: where are we now?

TechTrends - A careful review of the arguments and counter arguments presented by Clark (1983; 1994) and Kozma (1991; 1994), responses published in the past 20 years (Jonassen, Campbell &...     

Does media affect learning: where are we now?

Conclusion A careful review of the arguments and counter arguments presented by Clark (1983; 1994) and Kozma (1991; 1994), responses published in the past 20 years (Jonassen, Campbell & Davidson, 1994; Morrison, 1994; Reiser, 1994; Shrock, 1994) and existing instructional design literature (Morrison, Ross & Kemp, 2001; Reiser & Dick, 1996; Smith & Ragan, 1999) indicates there is, and always has been, significantly more agreement on this subject than the debate would indicate. Clark never said that a textbook could deliver an instructional method requiring the use of a 3-dimensional graphic representation as effectively as a computer, nor did Kozma maintain that the computer was the only medium with the capabilities to do so. Both acknowledged that the two instructional components — the instructional methods and the delivery medium — must be aligned to facilitate learning. The debate is, and always has been, about the ability of more than one medium to support a selected instructional method, whether or not any given medium has capabilities that cannot be replicated by another medium, and the validity of the research. We believe that today, in 2005: • Computers are capable of supporting instructional methods that other media are not • Computers, by means of their unique capabilities, affect learning • Computers are often the most cost-effective, efficient delivery method for any given unit of instruction We also: • Acknowledge the limitations of media comparison studies • Acknowledge the need to align the message, the medium and the learning task • Agree that some media are interchangeable and • Support the use of the most cost-effective, efficient delivery method for any given unit of instruction We believe that after 22 years it is time to reframe the original debate to ask, not if, but how media affects learning. We agree that media comparison studies are inherently flawed and support the argument that we must identify research designs that will provide answers to this question in significantly less time.     

Fusing self-regulated learning and formative assessment: a roadmap of where we are,how we got here,and where we are going

We have known for a long time that a relationship exists between how learning is assessed and the learning processes and strategies students employ when engaged in those assessments. Black and Wiliam pointed out in 1998 that self-regulated learning should be a primary goal of formative assessment (FA). Since then, a growing body of research on this relationship has been produced. The purpose of this paper is to present and discuss keystone publications that inform our current understandings of the relationship between FA and self-regulated learning. The result is a roadmap of the development of the field and directions for future research.     

Strengths-based blended personalized learning: An impact study using virtual comparison group

Abstract

This study describes a strengths-based blended personalized learning model, the implementation of the model over a 4-year period, and the results of an impact study focused on measuring its effectiveness. The model includes many commonly-used features of personalized learning, including (a) competency-based progressions, (b) flexible learning environments, (c) personal learning paths, (d) frequently updated student profiles, and (e) frequent informal and formal measurement. However, it differs from other personalized learning models by including a focus on strengths-based learning. Strengths-based learning identifies and builds upon students’ strengths, supporting their ability to make informed decisions when setting goals and choosing and implementing learning experiences. The longitudinal study took place in a diverse mid-size pre-K to Grade 8 school district in California. The findings suggest that the strengths-based blended personalized learning model is effective in supporting student learning in the academic areas of mathematics, reading, and language usage. Over the 3-year period in which the intervention was gradually implemented, and one year of full implementation, students significantly outpaced their matched student counterparts in all subject areas. The results of the current study further the growing literature in the field of personalized learning by contributing learnings and evidence related to a successful personalized learning model.