Faculty & Research
Golden Apple Award for Teaching Excellence
The Golden Apple Awards is an annual student-voted teaching award recognizing outstanding faculty.
In judging the effectiveness of teaching, students were asked to consider a professor's ability to teach their material with force and logic, while simultaneously making it understandable for students. Students also weighed the professor's attitude, mentorship ability and their inspirational qualities.
2018 - 2019 Golden Apple Awards for Teaching Excellence
In recognition of their commitment to outstanding research, expertise in their field and devotion to teaching excellence, Dr. Raj Singh, Dr. Kyle Ingram, Dr. Elodie Goodman, and Dr. Boris Maciejovsky are the winners of 2018 - 2019 Golden Apple Awards for Teaching Excellence.
Dr. Raj Singh for Preparation for Business Administration major and Upperdivision major requirements
Dr. Kyle E. Ingram for Elective Courses
Dr. Elodie Goodman for Graduate Core Courses
Dr. Boris Maciejovsky for Graduate Elective Courses
Raj Singh won in the category for Preparation for Business Administration major (BUS 10 and 20) and Upperdivision major requirements. Dr. Singh has taught at the graduate and undergraduate level for over 25 years and has been a faculty member in the School of Business at the University of California, Riverside for over fifteen years. In addition, Dr. Singh has taught Ph.D. level courses in strategy, statistical research, operations management, organizational behavior and human resource management for other major universities in United States.
Kyle Ingram is the winner for Elective Courses. He teaches Organizational Behavior, Leadership Development, Communication, Leadership, Teams and Ethics courses.
Elodie Goodman won in the Graduate Core Courses category. She taught MGT 201 Quantitative Analysis. Her research interests are health care management and payment systems, public policy, supply chain management, competition and coordination, pricing and inventory management.
Boris Maciejovsky won the Graduate Elective Courses category. he taughtMGT 212: Application of Behavioral Economics to Management, Decision-Making, and Policy . Boris Maciejovsky’s research interests are in the area of decision-making in economic, social, and organizational contexts. He is particularly interested in developing novel laboratory paradigms that help to isolate important aspects of real-world phenomena in order to study how such features influence decisions, processes, and outcomes.
The two Golden Apple Award categories are:
- Preparation for business administration major and upper-division major courses
- Elective courses
All pre-business and business major students are eligible to vote. Any faculty member (ladder-rank and lecturer) who has taught at least three classes in the last two years is eligible for the award. After winning an award in a category, the faculty member is not eligible to win the same award for the next two years.
Evaluating Teaching Effectiveness
In judging the effectiveness of a professor’s teaching, students should consider such points as the following:
- Ability to organize material and to present it with force and logic
- Capacity to awaken in students an awareness of the subject and its relationship to other fields of knowledge
- Fostering of student independence and capability to reason; spirit and enthusiasm in teaching
- Ability to invoke curiosity in students, to encourage high standards, and to stimulate students to creative work
- Extent and skill of the professor’s participation in the general guidance, mentoring, and advising of students
- Effectiveness in creating an academic environment that is open and encouraging to all students, including development of particularly effective strategies for the educational advancement of students in various underrepresented groups
Voting is online and is open to all pre-business and business major students. The names of eligible faculty will be listed in each award category, and students will be asked to vote for up to three professors in each category. The winners are selected based on the most student votes.