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Zehavit Kohen; Liron Schwartz-Aviad; Tomer Peleg – International Journal of Mathematical Education in Science and Technology, 2025
This study examines a Technology, Pedagogy, Content Knowledge (TPACK) training framework for pre- and in-service mathematics teachers that enables them to experience inquiry-based learning as learners in a dynamic geometry environment that serves as a mathematics laboratory. We investigate the effect of this experience on the teachers' TPACK,…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Teachers, Preservice Teachers
Jenny L. Richmond; Kate Nicholls – Teaching of Psychology, 2025
Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…
Descriptors: Artificial Intelligence, Scoring Rubrics, Computer Software, Learning Processes
Mayo Beltrán, Alba Mª; Fernández Sánchez, María Jesús; Montanero Fernández, Manuel; Martín Parejo, David – Practical Assessment, Research & Evaluation, 2022
This study compares the effects of two resources, a paper rubric (CR) or the comment bubbles from a word processor (CCB), to support peer co-evaluation of expository texts in primary education. A total of 57 students wrote a text which, after a peer co-evaluation process, was rewritten. To analyze the improvements in the texts, we used a rubric…
Descriptors: Scoring Rubrics, Evaluation Methods, Word Processing, Computer Software
Gerd Kortemeyer; Julian Nöhl; Daria Onishchuk – Physical Review Physics Education Research, 2024
[This paper is part of the Focused Collection in Artificial Intelligence Tools in Physics Teaching and Physics Education Research.] Using a high-stakes thermodynamics exam as the sample (252 students, four multipart problems), we investigate the viability of four workflows for AI-assisted grading of handwritten student solutions. We find that the…
Descriptors: Grading, Physics, Science Instruction, Artificial Intelligence
João Arantes do Amaral – Journal of Open, Flexible and Distance Learning, 2024
This article presents findings from a massive, free-of-charge online extension course titled Systems Thinking, which was conducted in Brazil in May and June 2024. The course engaged 345 participants. The research aimed to analyse how students' backgrounds, learning methods, and use of AI tools influenced learning outcomes. A mixed-method approach…
Descriptors: Cognitive Style, MOOCs, Outcomes of Education, Artificial Intelligence
Graham, Alison I.; Harner, Christie; Marsham, Sara – Assessment & Evaluation in Higher Education, 2022
Student frustration with the level and content of feedback is well-noted, especially in relation to new or unfamiliar assessment types. At the same time, students are often unlikely to engage with marking and feedback processes, including the use of rubrics or marking criteria before submission. The aim of this project was to build students'…
Descriptors: Student Evaluation, Evaluation Methods, Feedback (Response), Learner Engagement
Ally, Said; Oreku, George – International Journal of Education and Development using Information and Communication Technology, 2022
The outbreak of the COVID-19 pandemic largely disrupted the continuity of educational delivery. Online learning was the prompt response by educators. However, this comes with a big question on the conduct of assessment. Running examinations traditionally is vulnerable to high security risks and administration costs. A precise mechanism to…
Descriptors: COVID-19, Pandemics, Electronic Learning, Information Systems
Hassan Saleh Mahdi; Ahmed Alkhateeb – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study aims to develop a robust rubric for evaluating artificial intelligence (AI)--assisted essay writing in English as a Foreign Language (EFL) contexts. Employing a modified Delphi technique, we conducted a comprehensive literature review and administered Likert scale questionnaires. This process yielded nine key evaluation criteria,…
Descriptors: Scoring Rubrics, Essays, Writing Evaluation, Artificial Intelligence
Swapna Haresh Teckwani; Amanda Huee-Ping Wong; Nathasha Vihangi Luke; Ivan Cherh Chiet Low – Advances in Physiology Education, 2024
The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…
Descriptors: Accuracy, Reliability, Computational Linguistics, Standards
Menggo, Sebastianus; Gunas, Tobias – International Journal of Language Education, 2022
Assessment is one component of a learning process that cannot be excluded by an English teacher in the teaching-learning process. The form and type of assessment applied in the teaching-learning process are adapted to the orientation of learners' target outcomes. It is a space of reflection for teachers and students in the awareness of…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Second Language Instruction
Junifer Leal Bucol; Napattanissa Sangkawong – Innovations in Education and Teaching International, 2025
This research paper employs an exploratory framework to evaluate the potential of ChatGPT as an Automated Writing Evaluation (AWE) tool in teaching English as a Foreign Language (EFL) in Thailand. The main objective is to investigate how well ChatGPT can assess students' writing using prompts and pre-defined rubrics compared to human raters.…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, English (Second Language)
Suprapto, Nadi; Cahyani, Didin Nur; Ardianto, Didit; Mubarok, Husni – International Journal of Instruction, 2021
The aims of the study were analyzing students' understanding and skills to make concept mapping in work energy matter through C-Map application software. True experimental method with randomized control group pre-test and post-test design was utilized in the research method. The research involved 72 public high school students from second…
Descriptors: Teaching Methods, Concept Mapping, Computer Software, Comparative Analysis
Ariamanesh, Ali A.; Barati, Hossein; Youhanaee, Manijeh – International TESOL Journal, 2022
The present study investigated the speaking module of TOEFL iBT with an emphasis on the dichotomy of independent and integrated tasks. The potential differences between the two speaking conditions were intended to be explored based on the oral performance elicited from a group of Iranian test takers. To collect the required data, a simulated…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Computer Assisted Testing
dos Santos, Jardel Coutinho; Ramírez-Ávila, María Rossana – TESL-EJ, 2022
This quasi-experimental research aimed to examine if and to what extent the adaptation of the 4/3/2 technique and self-assessment contributes to the improvement of students' speaking fluency. 24 ninth graders ranging from 11 to 13 years old were separated randomly into control and experimental groups, each having 12 participants. The data were…
Descriptors: Speech Communication, Comparative Analysis, Teaching Methods, Feedback (Response)
Examining the Digital Learning Material Preparation Competencies of Pre-Service Mathematics Teachers
Simsek, Mertkan; Yazici, Nurullah – Participatory Educational Research, 2021
The aim of this research is to examine digital learning materials designed by pre-service mathematics teachers with GeoGebra software through rubrics. This research was conducted using the integrative mixed method design, which allows the use of qualitative and quantitative methods together or sequentially. The study group of the research consists…
Descriptors: Preservice Teachers, Preservice Teacher Education, Instructional Materials, Mathematics Teachers