Journal of Effective Teaching and Learning Practices

Teaching electric circuit analysis to first-year engineering students is challenging due to the abstract nature of its concepts, which often lack immediate real-world connections. This paper describes an effective pedagogical practice that integrates artificial intelligence (AI)-generated analog…

Integrating AI generated micro blogs into an Operating Systems course presents an innovative way to strengthen student engagement and conceptual understanding, as such short and contextual readings correlate between theory and state-of-art relevance. Although educators explore AI supported mater…

Advances in artificial intelligence now enable virtual assistants that enhance laboratory-based learning through conceptual diagnostics and adaptive support. This study presents an Artificial Intelligence–based Virtual Lab Assistant (AI-VLA) designed to improve learner readiness and perfor…

Engineering education today needs learning experiences that are meaningful, experiential, and connected to what industries are expecting. This paper describes how an AI-supported version of the WIT & WIL™ framework (Why am I Teaching/What am I Teaching and Why am I Learning/What am I L…

The integration of Artificial Intelligence (AI) into interdisciplinary engineering curricula is highly relevant in modern higher education. AI aligns education with Industry 4.0 by equipping students with skills in automation, data analytics, and smart systems. It promotes collaboration across c…

This paper presents a digital transformation initiative aimed at enhancing the academic administrative processes of students through the development of the Academic Catalogue Hub, titled EDMIT—Education and Management Integration Tool. The platform integrates the long-standing difficulties…

The integration of Artificial Intelligence (AI) into higher education is reshaping teaching–learning processes, particularly in the preparation and dissemination of instructional materials. This study presents an innovative academic practice that utilizes the Notebook Language Model (Noteb…

In the Industry 4.0 era, the challenges to be overcome by engineering education are twofold: covering increasingly complex theoretical concepts and developing practical, hands-on skills. Analog and Digital communication courses are characterized by abstract mathematical foundations and intricate…

This practice adds a fast, suitable AI layer to micro-teaching such that teaching, assessment, and feedback happen in the same class cycle. After a short lesson, students complete a five-item Google Form: four concept questions (multiple choice or short answer) plus a 1–5 self-rating on at…

This paper presents an innovative teaching–learning practice that integrates Artificial Intelligence (AI)-generated animated video quizzing with traditional learning pedagogies to improve engagement in theoretical courses of Electrical Engineering. Using InVideo, an AI-powered video creati…

In outcome-oriented higher education, feedback from students is essential to ensure the teaching–learning (T-L) quality and continual improvement. The majority of Higher Education Institutions (HEIs) still rely on manual analysis, despite the fact that feedback can often be collected onlin…

Traditional pedagogy is increasingly being transcended by Heutagogy as Education 5.0 moves toward experiential, learner-driven frameworks. In alignment with this shift, the present study explores the effectiveness of AI-enhanced, vodcast-based learning in undergraduate engineering education. Res…

This paper presents an innovative pedagogical practice titled "Teach the AI - Vidyarthi Vijaya" that reverses traditional classroom dynamics by positioning students as teachers to an AI-powered chatbot. Implemented in an MBA Digital Marketing course with 12 students, this initiative em…

Course Delivery is a detailed lesson plan about how the entire course will be delivered in that term or semester including the outcomes expected, learning interventions planned and assessments to measure the achievement of outcomes. Student performance and student engagement in the course taught…

English language learning is essential for engineering graduates, yet traditional instructional approaches often result in passive participation and reduced motivation. This study presents a project-based gamification model implemented through a 30-hour elective course, where engineering student…

In education, classroom engagement tools have become essential for teachers to connect with Gen-Z students. In this digital era dominated by Artificial Intelligence (AI), classroom engagement tools have revolutionized education by transforming lessons into vibrant, participatory experiences that…

The integration of Artificial Intelligence (AI) in higher education has transformed the preparation, delivery, and accessibility of instructional materials. Traditionally, faculty members spend significant time creating lecture notes, assessments, bilingual content, and visual materials. With AI…

Gamified, data-driven learning models are evolving engineering education into a dimensional, facilitating improved motivation, analytics, and contextualization. This research study presents the implementation of a machine learning-abled gamified model for the Computer Organization and Architectu…

KARE–Teaching Learning Centre has operationalized a human-centric, tool-agnostic microteaching assisted by Artificial intelligence (MT–AI) model that breaks core topics into 10–15 minute micro-segments, couples AI-assisted preparation with visual pedagogy, and closes each loop …