Stephanie B. Corliss

Professional Development for Technology-Enhanced Inquiry Science

The knowledge integration framework is used to analyze studies on professional development in technology-enhanced science involving more than 2,350 teachers and 138,0000 students. The question of how professional development enhances teachers’ support for students’ inquiry science learning is the focus of the work. A literature search using the keywords technology, professional development, and science identified 360 studies from the past 25 years, 43 of which included multiple data sources and reported results for teachers and/or students. Findings suggest that professional development programs that engaged teachers in a comprehensive, constructivist-oriented learning process and were sustained beyond 1 year significantly improved students’ inquiry learning experiences in K–12 science classrooms. In professional development programs of 1 year or less, researchers encountered common technical and instructional obstacles related to classroom implementation that hindered success. Programs varied most considerably in terms of their support for teachers’ use of evidence to distinguish effective technology-enhanced practices.

Optimal presentation of graphic organizers and text: A case for large bites?

In three experiments, we investigated the optimal presentation of graphic organizers (GOs) and text by having undergraduates read a chapter-length text in its entirety, a few pages at a time, or a few sentences at a time, before or after viewing seven GOs in their entirety (large bites), one at a time (small bites), or one cell at a time (animated). Large bites were better than small bites for learning concept relations and applying that knowledge, and for recalling macropropositions when the GOs were presented before text. Animated GOs offered no advantages over the large-bites GOs at first presentation and considerably extended total study time. Presenting several GOs first, followed by the entire text, appears to be optimal in directing students’ attention to across-chapter relations in text.

A Statewide University System (16 Campuses) Creates Collaborative Learning Communities in Second Life

For the first time in history, an entire statewide public institution of higher education is extending all of its 16 campuses into the online virtual world of Second Life and is creating one of the largest virtual collaborative learning communities in the world. There are three levels of assessment and research for this initial‐entry project: (1) at the System level; (2) at the individual campus level; and (3) at the course level. Questions to be addressed include: How can educators use virtual worlds to create large‐scale learning communities? How do virtual worlds enhance collaborative and interdisciplinary learning? How are 16 geo‐spatially separated campuses collaborating in virtual worlds? What have been major obstacles? How will this project continue to grow and evolve? The creation of the Systems virtual collaborative learning community of students, faculty, researchers, and administrators has begun to allow participants to learn, share, collaborate, and grow alongside one another. The ethic of the model is generosity.

Collaboration and knowledge integration

We draw on three examples from the Technology Enhanced Learning in Science (TELS) project to show how collaborative activities designed following knowledge integration patterns contribute to science learning. By knowledge integration we refer to learners sorting out their many, often contradictory, ideas to develop coherent understanding. Research on instruction suggests four interrelated processes that jointly lead to integrated understanding: eliciting current ideas, adding new ideas, evaluating ideas, and sorting out ideas. These processes characterize design patterns that promote knowledge integration. We describe how knowledge integration patterns informed the design of collaborative activities for Chemical Reactions and report on the value of heterogeneity in small groups. We describe how teachers learned from each other while refining an on-line teachers guide for Asthma. We describe how teachers engaged in collaborative customization of the plate tectonics unit and show that the revised unit resulted in improved student learning.

Using Data to Understand How to Better Design Adaptive Learning

There is much enthusiasm in higher education about the benefits of adaptive learning and using big data to investigate learning processes to make data-informed educational decisions. The benefits of adaptive learning to achieve personalized learning are obvious. Yet, there lacks evidence-based research to understand how data such as user behavior patterns can be used to design effective adaptive learning systems. The purpose of this study, therefore, is to investigate what behavior patterns learners with different characteristics demonstrate when they interact with an adaptive learning environment. Incoming 1st-year students in a pharmacy professional degree program engaged in an adaptive learning intervention that aimed to provide remedial instruction to better prepare these professional students before they began their formal degree program. We analyzed the participants’ behavior patterns through the usage data to understand how they used the adaptive system based upon their needs and interests. Using both statistical analyses and data visualization techniques, this study found: (1) apart from learners’ cognitive ability, it is important to consider affective factors such as motivation in adaptive learning, (2) lack of alignment among various components in an adaptive system can impact how learners accessed the system and, more importantly, their performance, and (3) visualizations can reveal interesting findings that can be missed otherwise. Such research should provide much needed empirical evidences and useful insights about how the analytics can inform the effective designs of adaptive learning.

Professional Development Programs for Teaching with Visualizations

Previous research suggests the value of technology-enhanced materials that guide learners to use dynamic, interactive visualizations of science phenomena. The power of these visualizations to improve student understanding depends on the teacher. In this chapter we provide two exemplars of professional development programs that focus on teaching with visualizations. The programs differ in intensity but follow the same basic philosophy. We show that the more intense professional development approach results in more effective teacher implementation of visualizations and greater student learning gains. We identify specific strategies that other educators can use to improve students’ knowledge integration with interactive visualizations.

Examining student characteristics, goals, and engagement in Massive Open Online Courses

Abstract Massive Open Online Courses (MOOCs) have emerged with much popularity in the last five years, yet many questions remain about whom MOOCs best serve and what constitutes learner success. Completion rates, a common metric of student success, remain low, averaging less than 8%, and may be a misleading measure of success unless learner intentions are considered. This research addresses the relationships among learner characteristics and goals for enrolling in MOOCs, and the impacts on student persistence and completion in varying disciplines. We examined learner self-reported goals for taking a MOOC, characteristics, and rate of completion of 15,655 participants in eight MOOC courses. Results revealed that while age was positively associated with MOOC participation, motivation differed across course disciplines. The relationship between learner goals and engagement differed between those enrolled in Humanities/Liberal Arts (HLA) and STEM courses. Most notably, while taking the course due to personal interest or usefulness to a participants career held a positive relationship with engagement in HLA courses, the endorsement of these same goals was predictive of less engagement in STEM courses. Our findings indicate that learner goals impact engagement and success, and that there are differences in engagement and goals between course disciplines. Suggestions for future MOOC research and potential course improvement to better align with learner goals are also provided.