By Dan Edwards, Ed.D. and Kevin Gaugler, Ph.D. From the learner’s perspective, AI might turn out to be an ideal complement to Steven Krashen’s Input Hypothesis. According to Krashen, language learners advance by understanding input that is slightly beyond their current level of comprehension, often denoted as ””i+1,” where ‘i’ represents the learner’s current level […]
Continue readingLanguage at Work: Leveraging the Power of AI in Language Education, Part 1
By Dan Edwards, Ed.D. and Kevin Gaugler, Ph.D. In education, the rise of AI-powered tools like ChatGPT has been met with a mix of enthusiasm and caution. Certainly, concerns over the use of artificial intelligence and academic integrity are warranted and should not be overlooked. However, this post aims to shed light on the immediate […]
Continue readingEmpowering Agentive Learning with ACTFL OPIc Tests and Diagnostic Grids
Historically, as students were preparing to exit their language program as majors or minors at Brigham Young University, we would assess the students with an ACTFL OPITM with Diagnostic Comments which provides details around the rating/evaluation of their language. It was a tool in their toolbelt, but one that we gave them when they were […]
Continue readingValidating Proficiency Benchmarks at a US Military Academy
By Pete Swanson, PhD, and Jean W. LeLoup, PhD, USAFA Introduction Some would say communicative Language Teaching approaches have helped shift the paradigm of world language teaching and learning. Proficiency testing has now been prioritized where program coordinators and others set proficiency benchmarks for language learners to achieve. Unfortunately, proficiency testing can be costly and […]
Continue reading