_____   White Paper   _____

White Paper (Typeset, Formatted, 192 pages)

_____   Community Report  (concise)  _____

Rapid Community Report (Typeset, Formatted, 5 pages)

    _____   Comprehensive List of Tracks & Themes   ______

For a narrative description of each Track, please click Tracks on the left menu.

Track 1: Facilitating Team Learning in Real-time via Online Technologies 
  • Theme 1A: Activity Authoring
  • Theme 1B: Student-Facing Delivery
  • Theme 1C: Instructor Orchestration
  • Theme 1D: Educational Games
  • Theme 1E: Assessment Mechanisms
  • Theme 1F: Standards & Clearinghouses
Track 2: Personalizing Collaborative Learning through Analytics 
  • Theme 2A: Types of learner data (e.g., speech, biometrics)
  • Theme 2B: Making sense of learners (analytic approaches for literally noisy data)
  • Theme 2C: Challenges for learner modeling of groups
  • Theme 2D: Providing feedback
  • Theme 2E: Improving higher-order thinking via analytics
Track 3: Supporting Digital Teams using Active Pedagogical Strategies
  • Theme 3A: Pedagogical Methods for Team Management
  • Theme 3B: Engagement & Accountability
  • Theme 3C: Emerging Pedagogical Strategies
  • Theme 3D: Faculty Development and DMTL
  • Theme 3E: Faculty & Student Orientation
Track 4: Empowering Equitable Participation through DMTL
  • Theme 4A: Factors of Engagement
  • Theme 4B: Fostering Inclusivity
  • Theme 4C: Equity & Diversity
  • Theme 4D: Transferability & Sustainability
  • Theme 4E: Possibilities of DTML

_____   Track 1 - Guiding Questions & Templates   _____   

Track 1: Facilitating Team Learning in Real-time via Online Technologies

Theme 1A: Activity Authoring (Ron)
  • Which types of STEM design and problem-solving activities are envisioned and some archetypes?
  • Which of those archetypes are prioritized at 1,3,5 years to leverage a layered development flow?
  • How to create clones, handle solution visibility, and content reuse?
  • Is a Respondus-style converter facility helpful to create/maintain authored activities?
Theme 1B: Student-Facing Delivery (Elliot)
  • What would suitable and even the ideal student-facing user interfaces for DMTL look like?
  • What are essential widgets for a student-facing interface: e.g. raise hand, bannering, balloting, pin note, up-voting?
  • How do learners nominate team leaders or MVPs? e.g. pick lists, ratings, blinded vs. open, or support a range of options?
  • What are some state-of-art tools today for DMTL to consider for further inspiration?
Theme 1C: Instructor Orchestration (Ron)
  • How should instructor-facing user interfaces for DMTL operate and which features would they provide?
  • How to support instructor observability/moderation of individual teams and the overall activity, and what are 'operator loading limits' to do so?
  • After action review should have which features? e.g. are playback and freeze modes of session activities beneficial?
  • Which Team Management features from semester-long team project management tools are applicable to 30-minute synchronous DMTL activities in the classroom, e.g. CATME features?
  • What parameters should be specified, e.g. number of teams, activity duration, etc.
Theme 1D: Educational Games (Elliot)
  • How does DMTL relate to Educational Games? e.g. attributes in common, compare/contrast?
  • Which progress achieved / features in Educational Games can be most useful to apply to DMTL?
  • What is role of VR to conduct DMTL activities in the near and long term?
  • Can we describe a 'best application' of Games/VR for DMTL?
Theme 1E: Assessment Mechanisms (Tian)
  • Team vs. Student Scoring Resolution, e.g. is there benefit in providing student-level traceability? 
  • Which capabilities can be feasible for automation of scoring? And mechanisms to realize those?
  • What would constitute Real-time Dashboard Display content vs. static summary report content?
  • How to determine correctness, time-on-task, and identification of pioneer teams automatically?
  • How to annotate/organize/provide feedback on submissions?
Theme 1F: Standards & Clearinghouses (Ron)
  • What are preferable mechanisms and interfaces needed for effective LMS integration of DMTL?
  • Definition of transportable formats: will they help to interchange activity content? and results?
  • Clearinghouses for problem banks: what, where, when?
  • Symposia: crosslinking sessions in which conferences? CSCL, CSCW, EDM, ASEE, AERA, etc.

(View-only access for reference of information gathered during the workshop)

(Anytime:Create a sub-folder with your last name to place a copy of any documents or related manuscripts. Gather your own related research paper(s) or those in the literature suggested to cite within the NSF White Paper, as well identifying/highlighting relevant passages of text/figures therein.)

_____   Track 2 - Guiding Questions & Templates   _____

Track 2: Personalizing Collaborative Learning through Analytics 

Theme 2A: Types of learner data 
  • What types of learner data is most impactful for DMTL?
  • How does one best manage the collection of different data types? (e.g., speech, biometrics)
  • What types of learner data can be gathered in a seamless and continuous manner?
  • What learner data is available online compared to that available in live, face-to-face team work?
  • How can we best assess student knowledge?
  • What ways can we capture learners’ creativity in a digitally-mediated setting?
Theme 2B: Assessment mechanics (analytic approaches for literally noisy data)
  • How can we best collect and analyze data from traditionally unconnected sources to inform learning?
  • What modeling or analysis techniques can sort through the complex and noisy data of team learning?
  • What approaches can help scale analytics for larger courses?
Theme 2C: Challenges for optimization of group learning
  • How can we best assess students’ performance in situ?
  • How can data be reported in real-time to inform group dynamics and learning?
  • How can pre- and live-data be used to form or adjust teams?
  • What do we know about using natural language processing (NLP) techniques for classroom data?
Theme 2D: Using data to provide feedback (to instructor and/or students)
  • What techniques can be used to automate productive feedback so it can be offered more immediately?
  • How can mobile apps be used to provide timely and meaningful feedback to learners?
Theme 2E: Enhancing cognitive demand and mastery of learning outcomes via analytics 
  • What real-time approaches allow assessment of tasks and assessments against learning outcomes?
  • Can conversational interfaces improve motivation and engagement?
  • How can we enhance self and socially shared regulation of team-based learning?

(View-only access for reference of information gathered during the workshop)

(Anytime: Create a sub-folder with your last name to place a copy of any documents or related manuscripts. Gather your own related research paper(s) or those in the literature suggested to cite within the NSF White Paper, as well identifying/highlighting relevant passages of text/figures therein.)

_____   Track 3 - Guiding Questions & Templates   _____

Track 3: Supporting Digital Teams using Active Pedagogical Strategies

Theme 3A: Pedagogical Methods for Team Management (Richard)
  • How can we maximize the student role in team management and minimize the instructor role in team management via pedagogical approaches?
  • Which pedagogical approaches support team management in synchronous DMTL classroom settings?
  • How do group selection approaches (and resulting group dynamics) influence team management strategies implemented? 

Theme 3B: Engagement and Accountability (Eloy)
  • What pedagogical approaches can motivate (or de-motivate) learners to actively participate/contribute in DMTL?
  • How can we hold all learners accountable in DMTL? (lurkers)
  • What grouping strategies result in increased engagement/accountability? 
  • Which pedagogical approaches enhance the development of soft-skills? 

Theme 3C: Emerging Pedagogical Strategies (Chris)
  • Which innovative pedagogical approaches improve student achievement using DMTL? 
  • Which DMTL-associated pedagogies support the integration of virtual reality, augmented reality, and other emerging digital tools in STEM education? 
  • Which innovative and emerging DMTL-centric pedagogical approaches show the most promise for impact over the next 1, 3, and 5 years? Future possibilities
  • Which innovative and emerging pedagogical approaches should be prioritized for deep research at 1, 3, and 5 years?

Theme 3D: Faculty Development and DMTL (Julie)
  • How do we assist faculty in developing effective and appropriate pedagogical strategies related to DMTL? 
  • What are key contextual and pedagogical considerations that are specific to STEM education? 
  • How do we align asynchronous pedagogies to support synchronous DMTL? 
  • How can we support the development of pedagogical reasoning in faculty? 

Theme 3E: Faculty and Student Orientation (Julie/Richard)
  • How can we scaffold students to enhance the effectiveness of DMTL? 
  • Which models of faculty development are most effective for supporting DMTL instructional skills? 
  • What approaches are most effective in preparing students as mentors in DMTL? 
  • How can we increase SoTL support in STEM education?

(View-only access for reference of information gathered during the workshop)

(Anytime: Create a sub-folder with your last name to place a copy of any documents or related manuscripts. Gather your own related research paper(s) or those in the literature suggested to cite within the NSF White Paper, as well identifying/highlighting relevant passages of text/figures therein.)

_____   Track 4 - Guiding Questions & Templates   _____

Track 4: Empowering Equitable Participation through DMTL

Theme 4A: Factors of Engagement in DMTL
  • What are common factors for engaging all learners in DMTL? 
  • How does DMTL provide affordances towards learner engagement?
  • What are potential perceived barriers towards learner engagement in DMTL?
  • Are there time limits to DMTL?
Theme 4B: Fostering Inclusivity in DMTL
  • What types of digital learning environments foster inclusivity?
  • What type of training is needed for faculty to foster inclusivity in DMTL?
  • What type of skills do students need to foster inclusivity with each other?
  • How can active learning be fostered among all learners in DMTL?
Theme 4C: Equity and Diversity through Accessibility
  • How can educators contribute to an equitable collaborative learning environment?
  • How do we make DMTL technologies accessible to all learners?
  • What are the procedures and practices that need to be employed in a DMTL environment?
Theme 4D: Transferability and Sustainability of DMTL
  • How can DMTL interactions be transferred to other group environments? 
  • Are there ways to contribute to learners’ efficacy in DMTL for sustainable leadership and persistence?
  • What if any processing interactions are needed between students and instructor in DMTL?
Theme 4E: Possibilities of a DMTL environment
  • What are the 1, 3, and 5-year research, development, and implementation goals of DMTL?
  • What are the current practices of DMTL that promote inclusivity (exemplary and promising practices) ?
  • What are the social skills, and personal accountability needed to be successful in a DMTL environment?

(View-only access for reference of information gathered during the workshop)

(Anytime: Create a sub-folder with your last name to place a copy of any documents or related manuscripts. Gather your own related research paper(s) or those in the literature suggested to cite within the NSF White Paper, as well identifying/highlighting relevant passages of text/figures therein.)

_____   White Paper Global Resources   _____

(Documents that relate to all 4 tracks, sample White Papers from other Workshops, etc.)
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