What tools and technologies are available for adaptive learning evaluation and feedback?

1 Formative and summative assessment

One way to evaluate adaptive learning is to use formative and summative assessment methods. Formative assessment is the ongoing process of collecting and analyzing data on student learning during instruction. It can help teachers identify the strengths, weaknesses, and gaps of each learner, and adjust the content and delivery accordingly. Summative assessment is the final evaluation of student learning at the end of a course or unit. It can help teachers measure the achievement and mastery of each learner, and provide feedback on their performance and progress. Some examples of formative and summative assessment tools are quizzes, tests, surveys, portfolios, rubrics, and self-assessment.

2 Learning analytics and dashboards

Another way to evaluate adaptive learning is to use learning analytics and dashboards. Learning analytics is the process of collecting, measuring, and analyzing data on student behavior, interaction, and outcome in online learning environments. It can help teachers gain insights into the patterns, trends, and factors that affect student learning, and provide evidence-based feedback and intervention. Dashboards are visual displays of learning analytics data that can help teachers monitor and track the progress and performance of each learner, and compare them with the class or cohort. Some examples of learning analytics and dashboards tools are Google Analytics, Moodle, Knewton, and Smart Sparrow.

3 Artificial intelligence and chatbots

A third way to evaluate adaptive learning is to use artificial intelligence and chatbots. Artificial intelligence is the technology that enables machines to perform tasks that require human intelligence, such as reasoning, problem-solving, and decision-making. It can help teachers automate and personalize the evaluation and feedback process, and provide adaptive and responsive support to each learner. Chatbots are conversational agents that use natural language processing to interact with users through text or voice. They can help teachers provide instant and interactive feedback and guidance to each learner, and simulate real-life scenarios and dialogues. Some examples of artificial intelligence and chatbots tools are Duolingo, Socratic, IBM Watson, and Replika.

4 Gamification and badges

A fourth way to evaluate adaptive learning is to use gamification and badges. Gamification is the application of game elements and mechanics to non-game contexts, such as education. It can help teachers increase student engagement, motivation, and retention by providing fun and challenging learning experiences. Badges are digital symbols that represent the achievement or recognition of a specific skill, competency, or behavior. They can help teachers provide meaningful and rewarding feedback and validation to each learner, and encourage them to pursue their own learning goals and paths. Some examples of gamification and badges tools are Classcraft, Kahoot, Credly, and Open Badges.

5 Peer and self-feedback

A fifth way to evaluate adaptive learning is to use peer and self-feedback. Peer feedback is the process of giving and receiving feedback from other learners, either individually or in groups. It can help teachers foster collaboration, communication, and critical thinking skills among learners, and provide diverse and constructive perspectives on their work. Self-feedback is the process of reflecting on and evaluating one's own learning, either through writing or speaking. It can help teachers promote metacognition, autonomy, and responsibility among learners, and provide opportunities for them to monitor and improve their own learning. Some examples of peer and self-feedback tools are Peergrade, PeerScholar, Reflective Journals, and Video Diaries.