H-LTLA Curriculum

Academic Technology: This module focuses on the incorporation of instructional technologies for teaching and learning. Aspects of planning, research, and implementation will be discussed. Participants will get strategies to create a culture of adoption at their institutions.  In this new edition of the Academy, we have updated the topics to include emerging trends such as Generative AI to provide our participants with tools that contribute to their professional performance.

Online Learning: This module delves into the dynamic field of online learning, emphasizing its transformative potential and strategies for effective adoption, implementation, and sustainable growth within institutions. Participants will explore frameworks for quality assurance, professional development, and support services aligned with national standards and best practices. The module also highlights how emerging technologies like Artificial Intelligence (AI) can streamline these processes by enhancing engagement, optimizing workflow efficiencies, and providing data-driven insights through learning analytics to support continuous improvement. 

Instructional/ Curriculum Design: This module delves into the foundations of curriculum and instructional design tailored for both virtual and traditional classrooms, with a strong emphasis on integrating modern technologies such as Artificial Intelligence (AI). Mastering these principles is crucial for developing effective and engaging courses in today’s dynamic educational landscape. Key topics include: (1) Instructional design in the age of AI, (2) Adapting foundational principles for course development, (3) Exploring AI-driven learning models, (4) Structuring content and utilizing AI-generated visuals, and (5) Leveraging AI as an assessment tool to monitor student progress.

Teaching and Learning: This module focuses on strategies to effectively integrate instructional technology into both face-to-face and online teaching, while fostering productive conversations with faculty and staff around technology adoption. Participants will explore models and frameworks for 21st-century education, including academic and student services models, strategies for student success, and effective transitions between traditional, online, and blended learning environments. The module also covers assessment and evaluation techniques, with an emphasis on how emerging technologies, such as Artificial Intelligence (AI), can enhance teaching practices, streamline instructional design, and support continuous improvement in learning outcomes.

Professional Development: This module will focus on creating a culture that promotes and values professional development as a pillar for the success of a competitive and constantly evolving educational company. From a thorough assessment of training needs to identifying cutting-edge trends, such as integrating artificial intelligence (AI), this module will provide concrete strategies to leverage emerging technologies to optimize learning processes and skills development. Creating a quality and continuous improvement culture will be promoted to support change and drive it, empowering professionals to adapt to new technological and educational demands quickly. Professional development should be conceived as the engine that drives innovation, organizational resilience, and leadership in the educational industry (Alice).

Data for Digital Learning: This module will focus on the utilization of data and its importance in the decision-making process. What data tells us and how it can be crucial when planning and implementing instructional technology initiatives. Strategies to develop a data-informed culture will be provided. The objectives are: Discuss the key elements of data; Development of a data management plan; Organized and visualization of data and: The uses and users of data in the academia.

Project Management: This module will focus on ideation, forecasting, planning, and project management to advance an agenda grounded in instructional technology and online learning. Leveraging artificial intelligence (AI), participants will explore tools and techniques to optimize decision-making, streamline workflows, and enhance project efficiency. Through AI-driven insights, they will learn how to predict project outcomes, allocate resources effectively, and manage risks in real time. Using case studies, participants will gain practical strategies for problem-solving, building high-performance teams, and fostering trust—critical components to ensuring project success. AI will also be integrated as a tool for continuous improvement and data-driven decision-making, elevating team collaboration and successful project completion.

Administration & Quality: This module will focus on important areas that lead to the successful administration of distance education initiatives. Aspects of accreditation and the quality of distance education and learning efforts will be discussed.  Key topics include: (1) Quality as defined by federal, state, professional, and institutional accreditors; (2) Assessment of standards application and management strategies; and (3) Intersection of quality and administrative leadership and its effect on institutional success.  The impact that artificial intelligence is having on these themes will also be covered.