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Foundations of Technology-Enhanced Assessment

Introduction to Technology-Enhanced Assessment and E-Assessments

Assessment Alignment, Quality, and Learner-Centered Design

Validity, Reliability, Accessibility, and Academic Integrity

Computer-Adaptive Testing and Adaptive Assessment

Fundamental Concepts of Computer-Adaptive Testing

Designing and Interpreting Adaptive Assessments

Automated Scoring and Immediate Feedback

Automated Scoring Systems and Scoring Models

Immediate Feedback for Learning

Reviewing Automated Scores Responsibly

AI-Assisted Item Generation

AI-Assisted Item Generation Fundamentals

Creating Diverse and Aligned Assessment Items

Human Review, Bias Checking, and Item Validation

Digital Proctoring, Privacy, and Academic Integrity

Digital Proctoring Tools and Use Cases

Ethical and Inclusive Proctoring Practices

Interactive Multimedia Testing Environments

Interactive and Multimedia Assessment Formats

Designing an Interactive Assessment Experience

Implementation and Continuous Improvement

Selecting Technology-Enhanced Assessment Tools

Using Assessment Data for Improvement

Quiz

Question 1: What is the primary feature that distinguishes computer-adaptive testing from a fixed-form test?

Question 2: Which type of automated feedback best helps a learner understand why an answer is incorrect and what to do next?

Question 3: What is an instructor's essential responsibility after using AI to generate assessment questions?

Question 4: Why should digital proctoring flags be reviewed by a qualified person before an academic-integrity decision is made?

Question 5: Which accessibility feature supports learners who cannot hear audio included in a multimedia assessment?

Survey and Feedback

Course Feedback Survey

Welcome to the 'Foundations of Technology-Enhanced Assessment and Automated Scoring' course. In today's rapidly evolving digital education landscape, traditional testing methods are no longer sufficient to measure learner proficiency accurately and efficiently.

Welcome to the 'Foundations of Technology-Enhanced Assessment and Automated Scoring' course. In today's rapidly evolving digital education landscape, traditional testing methods are no longer sufficient to measure learner proficiency accurately and efficiently. This comprehensive course is designed to empower educators, instructional designers, and educational technologists with the skills needed to leverage cutting-edge assessment technologies.

Throughout this course, you will explore the core principles of technology-enhanced assessments (TEA) and e-assessments, ensuring your evaluation methods align with measurable learning objectives and Bloom's Taxonomy. We will dive deep into Computer-Adaptive Testing (CAT), teaching you how to design dynamic assessments that adjust to learner ability in real-time. You will also master automated scoring systems, learning how to provide immediate, actionable feedback while maintaining academic integrity and fairness.

Furthermore, this course demystifies AI-assisted item generation, guiding you on how to create diverse, high-quality test questions while rigorously checking for bias and factual accuracy. We will tackle the ethical considerations of digital proctoring, privacy, and accessibility, ensuring your assessments are inclusive for all learners. Finally, you will discover how to build interactive multimedia testing environments and use assessment analytics for continuous improvement. Join us to transform your assessment strategies, reduce grading workload, and create more engaging, equitable, and effective learning experiences.

Foundations of Technology-Enhanced Assessment and Automated Scoring

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            <p>The landscape of higher education is undergoing a profound transformation, driven by the integration of advanced digital tools into pedagogical practices. "Foundations of Technology-Enhanced Assessment and Automated Scoring" provides a comprehensive exploration of how digital delivery, automated processes, and interactive media are redefining traditional evaluation methods. As educational environments increasingly rely on technology, it is imperative for educators and instructional designers to understand the fundamental principles of e-assessments. This course examines the critical intersection of learner-centered design, assessment alignment, and technological innovation, ensuring that digital evaluations accurately measure learning objectives while maintaining high standards of validity, reliability, and accessibility.</p>

<p>Throughout this curriculum, participants will engage with a diverse array of advanced assessment methodologies, ranging from computer-adaptive testing and automated scoring systems to artificial intelligence-assisted item generation and interactive multimedia environments. The coursework rigorously addresses the ethical and practical considerations inherent in digital assessments, including the implementation of inclusive digital proctoring, the mitigation of algorithmic bias, and the safeguarding of academic integrity and learner privacy. By analyzing assessment data for continuous improvement and mastering the responsible review of automated scores, participants will be equipped to select, design, and implement robust technology-enhanced assessments that foster equitable and effective learning experiences.</p>
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