The FAOSTAT database of greenhouse gas emissions from agriculture

Peer reviewedPublisher PD

The role of individual and social variables in task performance.

This paper reports on a data-based study in which we explored - as part of a larger-scale British-Hungarian research project - the effects of a number of affective and social variables on foreign language (L2) learners’ engagement in oral argumentative tasks. The assumption underlying the investigation was that students’ verbal behaviour in oral task situations is partly determined by a number of non-linguistic and non-cognitive factors whose examination may constitute a potentially fruitful extension of existing task-based research paradigms. The independent variables in the study included various aspects of L2 motivation and several factors characterizing the learner groups the participating students were members of (such as group cohesiveness and intermember relations), as well as the learners’ L2 proficiency and ‘willingness to communicate’ in their L1. The dependent variables involved objective measures of the students’ language output in two oral argumentative tasks (one in the learners’ L1, the other in their L2): the quantity of speech and the number of turns produced by the speakers. The results provide insights into the interrelationship of the multiple variables determining the learners’ task engagement, and suggest a multi-level construct whereby some independent variables only come into force when certain conditions have been met

Adaptability, Engagement, and Degree Completion:A Longitudinal Investigation of University Students

© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. University entry and the passage through university is a time of great change. The extent to which students are able to adjust to successfully navigate this change (adaptability) is likely to influence their academic outcomes. Prior research has identified a link between university students’ adaptability and academic achievement via behavioural engagement. The current longitudinal study extends this research by examining whether university students’ adaptability predicts degree completion via behavioural engagement. Undergraduate students (N = 186) were surveyed for their adaptability and behavioural engagement at degree commencement. Their completion status was extracted from the University Records System at the end of the degree. Findings showed that adaptability predicts both positive and negative behavioural engagement, and that negative (but not positive) behavioural engagement predicts degree completion. Adaptability was also found to influence degree completion indirectly via negative behavioural engagement. These findings hold important theoretical and practical implications for educators and researchers seeking to understand how students manage the transition to university and the extent to, and mechanisms by which students’ adaptability is associated with university degree completion

Self-Regulation in a Web-Based Course: A Case Study

Little is known about how successful students in Web-based courses self-regulate their learning. This descriptive case study used a social cognitive model of self-regulated learning (SRL) to investigate how six graduate students used and adapted traditional SRL strategies to complete tasks and cope with challenges in a Web-based technology course; it also explored motivational and environmental influences on strategy use. Primary data sources were three transcribed interviews with each of the students over the course of the semester, a transcribed interview with the course instructor, and the students’ reflective journals. Archived course documents, including transcripts of threaded discussions and student Web pages, were secondary data sources. Content analysis of the data indicated that these students used many traditional SRL strategies, but they also adapted planning, organization, environmental structuring, help seeking, monitoring, record keeping, and self-reflection strategies in ways that were unique to the Web-based learning environment. The data also suggested that important motivational influences on SRL strategy use—self-efficacy, goal orientation, interest, and attributions—were shaped largely by student successes in managing the technical and social environment of the course. Important environmental influences on SRL strategy use included instructor support, peer support, and course design. Implications for online course instructors and designers, and suggestions for future research are offered

Cognitive Productivity: Can Cognitive Science Improve How Knowledge Workers Use IT to Learn from Source Material?

This describes a research project based on Beaudoin, L. P. Cognitive Productivity: Using Knowledge to Become Profoundly Effective. https://leanpub.com/cognitiveproductivity

Relationships between students' conceptions of constructivist learning and their regulation and processing strategies

The present study investigated relationships between students' conceptions of constructivist learning on the one hand, and their regulation and processing strategies on the other hand. Students in a constructivist, problem-based learning curriculum were questioned about their conceptions of knowledge construction and self-regulated learning, as well as their beliefs regarding their own (in)ability to learn and motivation to learn. Two hypothesized models were tested within 98 psychology students, using a structural equation modelling approach: The first model implemented regulation and processing variables of the Inventory of Learning Styles [ILS, Vermunt (Learning styles and regulation of learning in higher education - towards process-oriented instruction in autonomous thinking, 1992)], the second model of the Motivated Strategies for Learning Questionnaire [MSLQ, Pintrich and de Groot (Journal of Educational Psychology, 82, 33-40, 1990)]. Results showed that structural relations exist between conceptions of constructivist learning and regulation and processing strategies. Furthermore, students who express doubt with regard to their own learning capacities are at risk for adopting an inadequate regulation strategy. A three-tiered structure of conceptual, controlling, and operational level appeared valid for the MSLQ variables, but not entirely for those of the ILS

Participatory instructional redesign by students and teachers in secondary education: effects on perceptions of instruction

Könings, K. D., Brand-Gruwel, S., & Van Merriënboer, J. J. G. (2011). Participatory instructional redesign by students and teachers in secondary education: effects on perceptions of instruction. Instructional Science, 39(5), 737–762.Students’ perceptions of instruction are important because they direct the learning of students. The fact that teachers have only limited knowledge of these perceptions is likely to threaten the effectiveness of learning, because congruence between interpretations of an instructional intervention is necesarry for its optimal use. This study examines participatory design as a strategy for taking student perceptions into account in instructional re/design. Participatory design meetings of groups of teachers and seven co-designing students in a secondary education setting identified changes to improve the regular education process. The results on changes in student perceptions, perceived-desired discrepancy, and teacher-student disagreement showed some improvement for the co-designers but, unexpectedly, limited or even negative effects for the non-co-designing students. Possible causes are discussed. Participatory design seems to have potential for improving education, but further research is needed

Assessing the validity of a learning analytics expectation instrument: A multinational study

To assist Higher Education Institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (QSELA) was developed. This instrument contains 12 items, which are explained by a purported two-factor structure of Ethical and Privacy Expectations and Service Expectations. As it stands, however, the QSELA has only been validated with students from UK University students, which is problematic on account of the interest in Learning Analytics extending beyond this context. Thus, the aim of the current work was to assess whether the translated QSELA can be validated in three contexts (an Estonian, a Spanish, and a Dutch University). The findings show that the model provided acceptable fits in both the Spanish and Dutch samples, but was not supported in the Estonian student sample. In addition, an assessment of local fit is undertaken for each sample, which provides important points that need to be considered in future work. Finally, a general comparison of expectations across contexts is undertaken, which are discussed in relation to the General Data Protection Regulation (GDPR, 2018)