D1. With surveys, cognitive tasks analyses and experiments test hypotheses such as:1. KWs’ inline PDF annotation is suboptimal but improvable with training.2. The meta-access problem hinders KWs meta-documentation but training can mitigate this.3. KWs rarely engage in productive practice, but productive practice can enhance meta-effectiveness.

D2. Develop, test and assess apps and KWr strategies for1. assessing and selecting knowledge resources2. meta-access and meta-documentation.3. delving PDFs and other knowledge resources4. managing reading lists5. identifying projects, and managing time with respect to them6. productive practice, etc.

D3. Criticize, refine and extend the meta-effectiveness framework in Cognitive Productivity (e.g., for valenced perception, developing motive generators).

Can Cognitive Science Improve How Knowledge Workers Use IT to Learn from Source Material?

A1. Executive summaryPurpose: to propose a new R&D program to understand and support KWs' learning with IT.Problems:

1. KWs face major challenges and opportunities, needing to learn with IT in a way that leverages (applies) CogSci.2. Cognitive scientists have rarely addressed these issues directly3. Popular but inadequate approaches (e.g., Getting Things Done, The Shallows, The Organized Mind).

Theory: Beaudoin (2013, 2015) developed an extensive framework to characterize and address these problems with broad cognitive science: The Cognitive Productivity Research Project.

Cognitive Productivity

Luc P. Beaudoin, Geneviève Gauthier, & Philip H. Winne*

B. SOME PERTINENT COGNITIVE SCIENCEA. THE PROBLEMS

Referencescf https://leanpub.com/cognitiveproductivity/

Luc P. BeaudoinR&D Based on this Book

A2. Problems with KWs' skills, knowledge and IT, and with cognitive science itself, re:1."Knowing one's way around" (Perkins, 1995) types and levels of IP, projects, resources.2.Personal project/activity/time management (planning, tracking reporting)3.Meta-access (store and access resources and meta-resources)4.Evaluation of knowledge resources (Caliber, Utility, Potency, Appeal [CUPA])5.Delving/Meta-documentation (inline annotations, meta-docs, tagging, rating)6.Productive practice (deliberate practice + test-enhanced learning, with IT)7.Smartphones/tablets: ↑ syncing problems; file access ↑ slow. ↑ fragmentation/sequestering of information.

“We haven’t really improved education with technology” (Steve Jobs to Bill Gates, 2011).

A3. Some other missing concepts 1. Effectance2. Knowledge vs World 2' mindware3. Knowledge gem4. Meta-effectiveness5. Knowledge work(er)6. Valenced perception7. Fluid rationality (Stanovich, 2011)8. RD cue mnemonic9. Transfer10. Architecture-based motivation

A4. Some other challenges- Challenging circumstances1. Demands on time; 2. information formats; 3. no cog. productivity training- Psychological challenges1.Cognitive illusions (of: meta-effectiveness, helpfulness of information,

comprehension, (future) recall, and rationality/transfer)2. Cognitive miserliness3. Effectance4. Perceived self-efficacy5. Cognitive aging6. Distractibility and distractions

Figure 3. H-CogAff Architecture

lpb@sfu.ca, gen.gauthier@gmail.com, winne@sfu.ca

B1. "Mindware Development", e.g.,1. Motive generators2. Monitors3. Cognitive reflexes4. Long-term working memory5. Representational machinery6. Management procedures

B2. Forms of practice1. Deliberate practice, 2. Test-enhanced learning 3. Reflective practice 4. Deliberate performance

Figure 1. The meta-access problem Efficiently storing/accessing focal resources and meta-docs

Conjecture: These problems apply to all knowledge workers, including cognitive scientists

Figure 2. Time & depth of processing

C. COGNITIVE SCIENCE-BASED PRACTICAL SOLUTIONSNeed new apps, concepts, strategies, and training for A2, A3 and A4. (Meta-access apps and strategies; delving apps & strategies; productive practice apps & strategies, etc.) Cognitive Productivity supplies some of them.

* Affiliations and disclosure. Dr. Beaudoin is Adjunct Professor of Cognitive Science and Education, Simon Fraser University. President, Director and shareholder, CogSci Apps Corp.. President and owner, CogZest. Dr. Geneviève Gauthier is Assistant Professor of Educational Psychology at the University of Alberta. Dr. Phil Winne is Professor & Canada Research Chair in the Faculty of Education at Simon Fraser University

B3. Self-Regulated Learning (SRL)1. COPES model of studying Winne & Hadwyn (1998).2. SMART (Searching, Monitoring, Assembling, Rehearsing, and

Translating) (Winne, 2001)3. nStudy software to support and study SRL

E. GLOSSARYKW: knowledge work. KWr: knowledge workerIP: information processingIT: information technologyRD: reconstructible, discriminative (Norman & Bobrow, 1979)http://summit.sfu.ca/item/15206

D. FUTURE RESEARCH