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David P. Reid; Timothy D. Drysdale – IEEE Transactions on Learning Technologies, 2024
The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment…
Descriptors: Learning Analytics, Laboratory Experiments, Electronic Learning, Feedback (Response)
Chih-Chang Yu; Leon Yufeng Wu – Educational Technology & Society, 2024
This study presents a new blended learning model that combines a computer-assisted learning system called Cognitive Apprenticeship Programming Learning System (CAPLS) with instructor co-teaching in an introductory programming course. CAPLS, as its unique aspect, functions as a master in cognitive apprenticeship, guiding learners throughout their…
Descriptors: Programming, Computer Science Education, College Entrance Examinations, Mathematics Tests
Khampirat, Buratin – International Journal of Instruction, 2021
Students who are self-regulated leaners have been reported to perform more successfully in higher education institutions (HEIs). Therefore, instruments that can monitor students' motivation and learning have been devised and implemented. The aims of this work were to investigate the dimensionality of the motivated strategies for learning…
Descriptors: Models, Measurement Techniques, Factor Analysis, Goodness of Fit
Lawanto, Oenardi; Minichiello, Angela; Uziak, Jacek; Febrian, Andreas – Journal of Technology Education, 2019
Within the self-regulated learning literature, motivation is considered to be an essential feature of students' self-regulatory processes. Additionally, task affect (i.e., personal objectives and task value) is thought to influence students' self-regulatory processes; insufficient task affect may lead to failures to self-regulate effectively. In a…
Descriptors: Engineering Education, Problem Solving, Introductory Courses, Thermodynamics
Foutz, Timothy L. – European Journal of Engineering Education, 2019
Research suggests that a significant reason that a large number of students earn low grades in the fundamental engineering science course Statics is that they may be entering the course with incorrect conceptual knowledge of mathematics and physics. The self-explanation learning approach called collective argumentation helps k-12 students to…
Descriptors: Persuasive Discourse, Learning Strategies, Engineering Education, Academic Achievement
García-Ros, Rafael; Pérez-González, Francisco; Cavas-Martínez, Francisco; Tomás, José M. – Educational Psychology, 2018
Applying a structural equations modelling methodology, the study analyses the relationships and effects of self-regulated learning (social interaction learning strategies and motivation) and first-year university experiences on permanence in the sophomore year. The participants are 239 first-year students in different Engineering degrees at a…
Descriptors: College Freshmen, Learning Strategies, Student Motivation, Student Experience
Du, Xiangyun; Ebead, Usama; Sabah, Saed; Ma, Jianping; Naji, Khalid Kamal – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Background: This study investigated the development of engineering students' approaches to learning and views on collaboration in a PBL environment. Material and methods: An explanatory mixed research approach was employed with participants from four PBL-implementing engineering courses in Qatar and China. 197 students responded to two surveys,…
Descriptors: Engineering Education, Student Attitudes, Undergraduate Students, Cooperative Learning
Foutz, Timothy L. – American Journal of Engineering Education, 2018
Educators have used argumentation to help students understand mathematical ideas which often appear abstract to the novice learner. A preliminary investigation was conducted to determine if collaborative argumentation is a strategy that can improve the student's conceptual understanding of the topics taught in the engineering course commonly…
Descriptors: Cooperative Learning, Persuasive Discourse, Learning Strategies, College Students
Lawanto, Oenardi; Minichiello, Angela; Uziak, Jacek; Febrian, Andreas – International Education Studies, 2018
Understanding problems or tasks is a critical step in any problem-solving activity and the heart of self-regulated learning. When encountering a problem, students draw upon information available in the environment, along with knowledge, concepts, and perceptions derived from prior learning experiences, to interpret the demands of the task.…
Descriptors: Engineering Education, Problem Solving, Thermodynamics, Task Analysis
Siregar, Roswani – English Language Teaching, 2018
As we live in a world where English is a dominant language and the use of communication technology become part of our daily lives, we encounter many opportunities that deals with it. The studies on integration of translation-based learning activities in English as Foreign Language (EFL) classrooms is growing in recent years. But little known in…
Descriptors: Undergraduate Students, Student Attitudes, Questionnaires, Translation
Jabarullah, Noor H.; Iqbal Hussain, Hafezali – Education & Training, 2019
Purpose: The purpose of this paper is to examine the impact of the use of problem-based learning (PBL) with engineering students at a technical university in Malaysia. Design/methodology/approach: The setting provided a unique opportunity to evaluate the impact of PBL, since Universiti Kuala Lumpur offers both the traditional, predominantly…
Descriptors: Problem Based Learning, Teaching Methods, Vocational Education, Engineering Education
Baukal, Charles E.; Ausburn, Lynna J. – European Journal of Engineering Education, 2017
Continuing engineering education (CEE) is important to ensure engineers maintain proficiency over the life of their careers. However, relatively few studies have examined designing effective training for working engineers. Research has indicated that both learner instructional preferences and prior knowledge can impact the learning process, but it…
Descriptors: Engineering Education, Cognitive Style, Learning Processes, Preferences
Silva, João Carlos Sedraz; Zambom, Erik; Rodrigues, Rodrigo Lins; Ramos, Jorge Luis Cavalcanti; de Souza, Fernando da Fonseca – International Journal of Information and Communication Technology Education, 2018
The present article is aimed at analyzing the effects of learning analytics on students' self-regulated learning in a flipped classroom. An experiment was conducted with 96 engineering students, enrolled in a subject offered in the Flipped Classroom model. The students were divided into two groups: an experimental group (N = 51) and a control…
Descriptors: Blended Learning, Academic Achievement, Experimental Groups, Learning Strategies
Griese, Birgit; Lehmann, Malte; Roesken-Winter, Bettina – International Journal of STEM Education, 2015
Background: Learning strategies are considered a key aspect for academic performance not only for science, technology, engineering and mathematics (STEM) students. Refining their assessment thus constitutes a worthwhile research purpose. The aim of this study is to examine the 69-item LIST questionnaire ("ZDDP" 15:185-200, 1994) with the…
Descriptors: Questionnaires, Test Format, Student Evaluation, STEM Education
Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research