During the Fall 2015 (13) proposals were submitted to the Innovations in Teaching with Technology Awards. The Academic Technology Advisory Council awarded a total of $95,884 for the following (5) proposals.

Proposal Title Principal Investigators Org Unit Department Award
Enhancing Student Learning in Health Screening Implementation through use of Decision Trees Heuristics and Branching e-Learning Interaction Jeanine Abrons College of Pharmacy Applied Clinical Sciences $15,000
In-course development and utilization of the NMITA Identification Tool (NIT): an on-line tool for learning about taxonomy, biodiversity informatics and species identification, blending technology and real fossils Tiffany Adrain College of Liberal Arts Earth & Environmental Sciences $10,484
New Tools for Musicianship and Theory Pedagogy Matthew Arndt College of Liberal Arts School of Music $5,000
An Interactive Simulation Environment for Learning Statistical Concepts, Phase 2 Sheila
College of Education Psychological & Quantitative Foundations $25,400
A Virtual Laboratory and Game-based Testing Application to Facilitate Self-directed Learning in Histology and Histopathology Nathan Swailes College of Medicine Anatomy & Cell Biology $40,000
      TOTAL: $95,884

More information about each proposal can be found in below.

The Academic Technologies Advisory Council assists the Provost's Office and Chief Information Officer in setting directions and priorities for developing, implementing, and evaluating instructional technology directions for the university. Proposals for the Innovations in Teaching with Technology Awards are accepted in the fall. Applicants are encouraged to get started on them now. ATAC provides feedback and assist in development of proposals. For more information, contact maggie-jesse@uiowa.edu or visit the award program’s website.

The Innovations in Teaching with Technology Awards help fund innovative applications of instructional technologies that impact student success and retention. Applicants are encourage to use emerging instructional technologies such as augmented reality, crowd-sourcing, electronic books (ePub/eText), game-based learning, geo-everything, gesture-based computing, learning analytics, mobile computing, personal web, open content, semantic-aware applications, simulation/simulators for instruction, smart objects, social networking, visual data analysis, and video (e.g., "grassroots video"). For a description on each of these and other technologies used for instruction, see: "Horizon Reports: Emerging Technologies for Teaching and Learning."

Investigators:  Jeanine Abrons
Org Unit: College of Pharmacy
Department(s): Applied Clinical Sciences
Proposal Summary:

Healthcare professionals are required to gain professional service exposure as part of training requirements, but often do not know how to properly identify at-risk patients or be able to engage in decision making heuristics when at-risk patients are identified. Students need an immediate feedback mechanism to make alterations in providing health screenings to patients. eLearning modules and authoring tools may provide guidance on why specific screening questions are used, where critical decisions are made, how to communicate the decision making, and mechanisms to target resources based on patients risks and needs.

Investigators: Tiffany Adrain
Org Unit: College of Liberal Arts & Sciences
Department(s): Earth and Environmental Sciences
Proposal Summary: Teaching paleontology and organismal biology provides opportunities and challenges for practical activities involving real specimens. An additional challenge is teaching students how to identify species when taxonomy (identifying and naming species) is underemphasized in science in general, let alone the classroom, even though it is one of the foundations of modern biodiversity informatics. We propose to involve students in class labs with the development, testing and use of an on-line identification tool as an innovative means of using technology to learn about taxonomy, practical techniques in identification, and biodiversity informatics. 

Investigators: Matthew Arndt
Org Unit: College of Liberal Arts & Sciences
Department(s): School of Music
Proposal Summary:

Like foreign language acquisition, aural skills acquisition depends on discriminating minimally different stimuli, but current learning materials do not necessarily facilitate this discrimination. I propose to meet these challenges in two ways:

(1) having students record keyboard exercises at the new computer lab for the School of Music and submit them for individual feedback, using a program called SmartMusic, and

(2) having students use electronic flash cards that allow them to focus on discriminating minimally different stimuli, using a free app called Anki.

Investigators: Sheila Barron
Org Unit: College of Education
Department(s): Psychological and Quantitative Foundations
Proposal Summary: This proposal is for funding to continue, and somewhat expand, the development of the interactive simulation environment for learning statistical concepts. This project was initially by ATAC last year. Thus, in order to understand what we hope to do this coming year, it may be helpful understand what we have done with our year one funding.


Investigators: Nathan Swailes
Org Unit: Carver College of Medicine
Department(s): Anatomy and Cell Biology
Proposal Summary:

The project will allow Virtual Microscopy (VM) and flexible learning in histology to reach their full potential by providing students with a complete, self-directed learning experience through the development of two complementary applications: a virtual laboratory and a game-based testing app.

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Last updated: 
April 10, 2017