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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)
Artur Fredyk; Agata Bara; Anna Brachman; Grzegorz Sobota; Bogdan Bacik – Research in Dance Education, 2024
One of the basic skills of a dancer is the ability to keep the body balance ("aplomb") while performing various dance figures. These movements are often performed with limited vision control due to dynamic motion or environmental conditions. Our aim was to verify whether the exercises with eyes closed of the ballet school students would…
Descriptors: Dance, Psychomotor Skills, Dance Education, Human Posture
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
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
Daire Maria Ni Uanachain; Lila Ibrahim Aouad – Thresholds in Education, 2025
This chapter investigates the dual role of Generative AI (GenAI) in providing support and feedback to students and in reshaping formative and summative educational assessments, addressing both the burgeoning opportunities for enhancing teaching methodologies and the associated ethical challenges. There is a focus on the necessity for balanced…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Benjamin B. Hoar; Roshini Ramachandran; Marc Levis-Fitzgerald; Erin M. Sparck; Ke Wu; Chong Liu – Journal of Chemical Education, 2023
In education, space exists for a tool that valorizes generic student course evaluation formats by organizing and recapitulating students' views on the pedagogical practices to which they are exposed. Often, student opinions about a course are gathered using a general comment section that does not solicit feedback concerning specific course…
Descriptors: Chemistry, Science Instruction, Large Group Instruction, Teaching Methods
Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
Heon Jeon; Sarah DeCapua – Journal of Response to Writing, 2024
Giving feedback to student writing is one of the writing teacher's most important tasks in the classroom. Writing teachers can use many forms of feedback, such as written feedback, teacher-student conferencing, peer feedback, or self-assessment. Additionally, the influx of technologies into writing classrooms allows teachers to use screencast…
Descriptors: Feedback (Response), Video Technology, Technology Uses in Education, Visual Aids
Zhihan Lv Ed. – IGI Global, 2024
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Problem Solving
Dan Sun; Azzeddine Boudouaia; Chengcong Zhu; Yan Li – International Journal of Educational Technology in Higher Education, 2024
ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the principles of programming. However, limited empirical studies have explored the impact of ChatGPT on learners' programming processes. This…
Descriptors: Computer Science Education, Computer Software, Feedback (Response), Artificial Intelligence
Seth Ketron; Kristina Schatz; Darin Sullwold; Aaron Sackett; Kyle Goldschmidt – Marketing Education Review, 2025
Virtual reality (VR) learning is believed to increase focus, engagement, and emotional connection. To that end, we developed an immersive business case study in VR to teach essential business concepts. This paper outlines the process we followed to develop and launch the case in the hope that other institutions can use our process as a blueprint…
Descriptors: Computer Simulation, Business Education, Case Method (Teaching Technique), Usability
Kanika; Chakraverty, Shampa; Chakraborty, Pinaki – Journal of Educational Technology Systems, 2020
Courses on computer programming are included in the curricula of almost all engineering disciplines. We surveyed the research literature and identified the techniques that are commonly used by instructors for teaching these courses. We observed that visual programming and game-based learning can enhance computational thinking and problem-solving…
Descriptors: Teaching Methods, Programming, Computer Science Education, Robotics
Wen Liu – Language Teaching Research Quarterly, 2024
Automated writing evaluation feedback (AWE) has become popular in writing classrooms. However, few studies have conducted a comprehensive review of the employment of AWE in learning areas. This study aimed to provide a systematic review of the current research on AWE feedback, including its validity, effects, and students' engagement with AWE…
Descriptors: Writing Instruction, Learner Engagement, Feedback (Response), Teaching Methods
Taylor, Gemma; Kolak, Joanna; Bent, Eve M.; Monaghan, Padraic – British Journal of Educational Technology, 2022
In the present paper, we assess whether website rating systems are useful for selecting educational apps for preschool age children. We selected the 10 highest scoring and 10 lowest scoring apps for 2-4-year-olds from two widely used websites (Good App Guide; Common Sense Media). Apps rated highly by the two websites had a higher educational…
Descriptors: Computer Software, Preschool Children, Psycholinguistics, Feedback (Response)