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Youngmi Kim; Shinyu Oh; Tae-Young Kim – English Teaching, 2025
This study explored factors affecting variability in second language (L2) learning motivation among Korean university students and how they appraised their L2 learning experience. In this study, 85 undergraduate students majoring in English or English education from three universities in Seoul, South Korea, reflected on their past English learning…
Descriptors: Second Language Learning, Learning Motivation, Learning Experience, Foreign Countries
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Eva Hammar Chiriac – Journal of Problem Based Learning in Higher Education, 2024
Even though using group examinations aligns well with the epistemology of problem-based learning (PBL), the dilemma of using joint learning while simultaneously fulfilling individual assessment requirements in higher education make group examinations difficult to use. In this study, the aim was to explore whether an individual reflection paper…
Descriptors: Problem Based Learning, Higher Education, Student Evaluation, College Students
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Ernesto Panadero; Alazne Fernández Ortube; Rebecca Krebs; Julian Roelle – Assessment & Evaluation in Higher Education, 2025
Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…
Descriptors: Scoring Rubrics, Teaching Methods, Learning Processes, Feedback (Response)
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Fernando Veiga; Alain Gil-Del-Val; Edurne Iriondo; Urko Eslava – International Journal of Technology and Design Education, 2025
This paper presents the experimental work developed to measure the learning process through concept map analysis. The development of a concept map is requested by the students for each chapter or theme of the subject. As a result, maps from engineering courses have been analyzed. The measurements carried out consider several parameters, such as…
Descriptors: College Students, Engineering Education, Concept Mapping, Learning Processes
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Wan Fazwani Wan Mat; Lim Hooi Lian – Journal of Education and Learning (EduLearn), 2025
This bibliometric article examines the current state of publication in the field of classroom assessment, exploring the productivity and influence of countries, institutions, and authors. A search query of on the Scopus database using the term "classroom assessment" or "classroom-based assessment" or "assessment for…
Descriptors: Alternative Assessment, Student Evaluation, Bibliometrics, Formative Evaluation
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Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Karen Nickel; Sarah Strauss; Megan Budke – American Council on the Teaching of Foreign Languages, 2024
"Learner Feedback for Language Growth: A Guidebook for Evaluating Learner Work Through Performance Domains and Indicators" gives you concrete examples of the type of feedback that empowers your learners, making them eager to learn more and continue their growth in the language. Going far beyond simply training teachers to rate language…
Descriptors: Second Language Learning, Second Language Instruction, Student Evaluation, Feedback (Response)
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Yuqin Yang; Yewen Chen; Xueqi Feng; Daner Sun; Shiyan Pang – Journal of Computing in Higher Education, 2024
Helping students gradually develop collective knowledge is critical but generally faces great challenges. Employing a quasi-experimental design, this study investigated the impacts and mechanisms of analytics-supported reflective assessment on the collective knowledge advancement of undergraduates. The experimental group (n = 55) engaged in…
Descriptors: Undergraduate Students, Learning Processes, Learning Analytics, Learner Engagement
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Kun Dai; Jiani Ma – Innovations in Education and Teaching International, 2024
With an increasing number of international students to study in China, however, few studies have investigated how international students experienced assessment in Chinese higher education. Drawing upon the concept of sustainable assessment, we present findings from interviews with thirty international postgraduate students who shared assessment…
Descriptors: Foreign Students, Masters Programs, Graduate Students, College Faculty
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Karen Singer-Freeman – Assessment Update, 2024
A common feature of many assessment plans is the use of multiple-choice questions. Although there are criticisms of multiple-choice questions, this assessment format is here to stay--multiple-choice questions are effective means of evaluation in large classes, central to many licensing and entry exams, used in most adaptive learning platforms, and…
Descriptors: Test Construction, Multiple Choice Tests, Student Evaluation, Learning Processes
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Tamanna Parvin Eva; Silvia Akter; Mashruha Zabeen; Shamsul Huq Bin Shahriar – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The purpose of this study is to explore learner-centered emerging technologies, methods of learning with artificial intelligence (AI), student engagement and concerns related to the assessment process at public and private universities in Bangladesh. Design/methodology/approach: The study employed a qualitative research approach to…
Descriptors: Developing Nations, Futures (of Society), Educational Trends, Educational Innovation
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Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
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Stanja, Judith; Gritz, Wolfgang; Krugel, Johannes; Hoppe, Anett; Dannemann, Sarah – British Journal of Educational Technology, 2023
Formative assessment is considered to be helpful in students' learning support and teaching design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of teachers can be subdivided into three practices: eliciting evidence, interpreting evidence and responding. Since students' conceptions are judged to be important for…
Descriptors: Formative Evaluation, Student Attitudes, Learning Analytics, Student Evaluation
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W. A. Piyumi Udeshinee; Ola Knutsson; Sirkku Männikkö-Barbutiu – International Journal of Mobile and Blended Learning, 2024
Even though the importance of corrective feedback (CF) is widely recognized, there is no agreement on the most effective type of CF for promoting self-regulation. Thus, this study adopts a sociocultural perspective on learning and employs dynamic assessment (DA) as a CF form. DA is considered a theoretically promising approach to CF as it focuses…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Metacognition
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Jones, Jason P.; McConnell, David A. – Journal of Geoscience Education, 2023
In the past couple of decades, the geoscience education community has made great strides toward investigating how to provide effective student learning experiences in the college setting. While experiences such as student-centered teaching strategies and course design elements are useful for the instructor, they may not make important elements of…
Descriptors: Geology, Introductory Courses, Science Instruction, Teaching Methods
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